• Title/Summary/Keyword: Planning techniques

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Landscape Planning for Shiwha Migratory Birds Habitat

  • Joo Shin-Ha;Ahn Se-Hyon
    • Journal of the Korean Institute of Landscape Architecture International Edition
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    • no.2
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    • pp.130-139
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    • 2004
  • Shiwha Lake is an excellent example of a body of water restored from a state of heavy pollution to a cleaner and more ecological state. This paper will explore techniques and methods available to landscape planning for the creation of new migratory birds habitats in Shiwha Lake. Because Shiwha lake is located adjacent to a new industrial site on reclaimed land, any planning effort aimed at restoring bird habitats must carefully consider the existing context. This plan had 3 goals; (1) to restore the coastal environment, (2) to create a habitat for migratory birds, and (3) to administer environmental education programs. To achieve these goals, several objectives were determined and planning criteria were proposed for topology, water environment(fresh, brackish and salt water swamps), zoning(for experts and general visitors), circulations, planting and mounding. The flora and fauna of the site was surveyed, and 5 alternatives were suggested and compared in several aspects. Planting species were carefully selected considering target birds and habitat requirements. In order to increase bio-diversity of the site, the plan proposed multi-staired mounds and extensive drainage systems. Bird watching facilities with natural materials, and the remote observing system using CCTV and the internet were some of the ecological techniques recommended by the plan. The bird watching trails are divided into two different zones for experts and general visitors.

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Comparative study of calcium carbonate deposition induced by microorganisms and plant ureases in fortified peat soils

  • Chao Wang;Jianbin Xie;Yinlei Sun;Jianjun Li;Jie Li;Ronggu Jia
    • Structural Monitoring and Maintenance
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    • v.11 no.3
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    • pp.187-202
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    • 2024
  • For the problems of high compressibility and low strength of peat soil formed by lake-phase deposition in Dianchi Lake, microbial-induced calcium carbonate deposition (MICP), phyto-urease-induced calcium carbonate deposition (EICP) and phyto-urease-induced calcium carbonate deposition combined with lignin (EICP combined with lignin) were used to reinforce the peat soil, the changes in mechanical properties of the soil before and after the reinforcement of the peat soil were experimentally investigated, and the effect and mechanism of peat soil reinforcing by the three reinforcing techniques were tested and analyzed using X-ray diffraction (XRD) and scanning electron microscope (SEM). The results show that: compared to the unreinforced remolded peat soil specimens, the unconfined compressive strength (UCS), cohesion and internal friction angle of the specimens reinforced by MICP, EICP and EICP combined with lignin techniques have been greatly improved, and the permeability resistance has been improved by two, two and three orders of magnitude, respectively; the different methods of reinforcing generate different calcium carbonate crystalline phases, with the EICP combined with lignin technique generating the most stable calcite, and the MICP and EICP techniques generating a mixed phase of calcite and spherulitic chalcocite. Analyses showed that for peat soil reinforcement, the acidic environment of peat soil inhibited the growth and reproduction of bacteria, EICP technology was superior to MICP technology, and the addition of lignin solved the defect of the EICP technology that did not have a "nucleation site", so EICP combined with lignin reinforcement was preferred for the improvement of peat soil.

A Study on an Energy-Effective Site Planning for a Residential Environment(II) (에너지 절약형 주택단지 설계기법에 관한 연구 (II))

  • 양병이;김기호
    • Journal of the Korean Institute of Landscape Architecture
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    • v.13 no.1
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    • pp.25-42
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    • 1985
  • The objective of this article is to develop residential site planning techniques for the energy conservation by focusing on energy conscious site design process, influencing natural factors for energy conservation and suggestion of multi - family housing Prototypes. This article is the second part of the article titled "A Study on an Energy - Effective Site Planning for a Residential Environment"which is published in the previous issue (Vol. 12, No. 2) of this journal. The first part of the article dealt with how to make best use of energy conserving effect of natural forces such as sun, wind and water, and the selection techniques of suitable residential site for achieving energy conservation. The second part proposes the energy conscious design process of residential site development and suggests building forms of single family and multi -family housings. The three multi - family housing prototypes haute been developed which are most energy -effective ; the linear type, the cut -de -sac type and the atrium type. In the process of creating the prototypes, energy conserving design criteria have been also developed. These criteria can be used to develop some other alternative prototypes.

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Applications of Data Mining Techniques to Operations Planning for Real Time Order Confirmation (실시간 주문 확답을 위한 데이터 마이닝 기반 운용 계획 모델)

  • Han Hyun-Soo;Oh Dong-Ha
    • Korean Management Science Review
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    • v.21 no.3
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    • pp.101-113
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    • 2004
  • In the rapidly propagating Internet based electronic transaction environment. the importance of real time order confirmation has been more emphasized, In this paper, using data mining techniques, we develop intelligent operations decision model to allow real time order confirmation at the time the customer places an order with required delivery terms. Among various operation plannings used for order fulfillment. mill routing is the first interface decision point to link the order receiving at the marketing with the production planning for order fulfillment. Though linear programming based mathematical optimization techniques are mostly used for mill routing problems, some early orders should wait until sufficient orders are gathered for optimization. And that could effect longer order fulfillment lead-time, and prevent instant order confirmation of delivery terms. To cope with this problem, we provide the intelligent decision model to allow instant order based mill routing decisions. Data mining techniques of decision trees and neural networks. which are more popular in marketing and financial applications, are used to develop the model. Through diverse computational trials with the industrial data from the steel company. we have reported that the performance of the proposed approach is effective compared to the present heuristic only mill routing results. Various issues of data mining techniques application to the mill routing problems having linear programming characteristics are also discussed.

Application of Augmented Reality based Urban Planning Support System for Effective District Unit Planning (효율적 지구단위계획 수립을 위한 증강현실 기반 도시계획지원시스템 적용 연구)

  • Jeon, Byeong-Kuk;Kim, Chul-Joo;Kim, Chang-Seok;So, Jin-Kwang
    • Spatial Information Research
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    • v.20 no.2
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    • pp.105-115
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    • 2012
  • This paper is aimed at offering preliminary data that improve the effectiveness of district unit planning, which has adopted to make comfortable environment of national land, to prevent urban sprawl rural area and to perform systematic maintenance of the existing urban area, by case study analysis about the applied possibility of GIS-based augmented reality. To do this, we developed the augmented reality based urban planning support system and checked the parts that can be applied of augmented reality techniques in the process of district units planning. And we analysed about merits and demerits of augmented reality techniques through comparative analysis, which is about form, arrangement, use, and height of building, building coverage ratio, floor area ratio and landscape planning in the case study area, the Yeosu district(located in Seongnam).

The Study of Structured Analysis and Design Techniques for SOP (Standard Operating Plan) (표준운영계획 수립을 위한 구조화 분석 및 설계기술에 관한 연구)

  • Hong, Seon-Ho;Kim, Lee-Hyun;Jeon, Han-Jun
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1263-1268
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    • 2011
  • Rail infrastructure manager and operators shall establish emergency response plans. Emergency Response Planning Activities expanded coincidence events should be modeled. Identify the emergency response organization for the purpose of knowledge is required. In other words, control concepts and skills needed core elements. Structured analysis & design technic methodology is Compared with other modeling techniques through a simple graphical model is visualized. The information contained in a model real problems that considering the state of the system activities, so that knowledge acquired in situations where the modeling becomes possible. In this paper, using structured analysis techniques, infrastructure deployment model of the proposed features. In addition to emergency response planning in the 1960s in Germany, Karl Petrie (Carl Petri) devised various means of modeling the situation presents a Petri net model.

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Comparison Studies of PSO Techniques for PV System Allocation Problem (PV 시스템 계획 문제에 대한 PSO 기법들의 비교 연구)

  • Diolata, Ryan;Song, Hwa-Chang;Joo, Young-Hoon
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.482-483
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    • 2008
  • This paper compares particle swarm optimization techniques for PV allocation planning problem in power systems. PV allocation planning problem is formulated as a mixed-integer nonlinear problem. Five variants of PSO techniques are investigated for the applicability on the PV allocation problem. Namely, PSO with constant inertia weight approach (PSO-CIW), PSO with time varying inertia weight (PSO-TVIW), PSO with random inertia weight (PSO-RIW), PSO with constriction factor (PSO-CF) and PSO with time varying acceleration coefficients (PSO-TVAC).

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A Programming Model for Employment Planning in a Manufacturing Firm (제조기업(製造企業)의 고용계획(雇用計劃)을 위한 계획(計劃) 모델)

  • Son, Man-Seok;Lee, Jin-Ju
    • Journal of Korean Institute of Industrial Engineers
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    • v.2 no.1
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    • pp.85-92
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    • 1976
  • In this paper, the employment planning model is developed which is a decision-making model for determining the optimum employment level with respect to varying net manpower requirement for each planing period such that total cost in a planning horizon is minimized. It is constructed as a nonlinear programming model and a dynamic programming model on the basis of studies in the areas of production smoothing and manpower scheduling. Costs for a planning period are categorized into regular wage cost, hiring cost, and overtime cost. The first is a linear function. The other two cost functions are of quadratic nature. The planning horizon of this planning model is intermediate range (five years) for which a fair planning accuracy can be guaranteed. The model considers learning period for each job class. It is simple and an optimum solution can be easily obtained by direct search techniques.

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Genetic Algorithm Based 3D Environment Local Path Planning for Autonomous Driving of Unmanned Vehicles in Rough Terrain (무인 차량의 험지 자율주행을 위한 유전자 알고리즘 기반 3D 환경 지역 경로계획)

  • Yun, SeungJae;Won, Mooncheol
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.6
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    • pp.803-812
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    • 2017
  • This paper proposes a local path planning method for stable autonomous driving in rough terrain. There are various path planning techniques such as candidate paths, star algorithm, and Rapidly-exploring Random Tree algorithms. However, such existing path planning has limitations to reflecting the stability of unmanned ground vehicles. This paper suggest a path planning algorithm that considering the stability of unmanned ground vehicles. The algorithm is based on the genetic algorithm and assumes to have probability based obstacle map and elevation map. The simulation result show that the proposed algorithm can be used for real-time local path planning in rough terrain.