• Title/Summary/Keyword: macro region

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Development Policy of Macro-Economic Region in Korea : Review and Prospect (우리나라 광역경제권 정책의 추진현황과 발전과제)

  • Ahn, Young-Jin
    • Journal of the Korean association of regional geographers
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    • v.17 no.5
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    • pp.638-647
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    • 2011
  • Since 2008 the administration of the President Lee Myung-bak is pursuing a new regional policy which differentiates from that of the last administration. It focuses on the maximizing the growth potential of the national territory and suggests the three-tiered regional development system. The paper aims to review the main contents and characteristics of the macro-economic region policy as a representative strategy in a new regional development policy and examine its achievements and the future tasks. Although it is limited to evaluate the accomplishments of the macro-economic region policy due to the short period of time (3 years), it has been successfully recognized that it would be more competitive if regional governments are supporting and connecting each other with neighboring regional governments. In addition, investments to each macro-economic region continue vigorously as planned. In order for the policy to be more successful in the future, however, it is necessary to substantially expand the development project, to systematically construct the governance structure, and to effectively process the industrial plans.

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Probabilistic Location Choice and Markovian Industrial Migration a Micro-Macro Composition Approach

  • Jeong, Jin-Ho
    • Journal of the Korean Regional Science Association
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    • v.11 no.1
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    • pp.31-60
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    • 1995
  • The distribution of economic activity over a mutually exclusive and exhaustive categorical industry-region matrix is modeled as a composition of two random components: the probability-like share distribution of jobs and the dynamic evolution of absolute aggregates. The former describes the individual activity location choice by comparing the predicted profitability of the current industry-region pair against that of all other alternatives based on the available information on industry-specific, region specific, or activity specific attributes. The latter describes the time evolution of macro-level aggregates using a dynamic reduced from model. With the seperation of micro choice behavior and macro dynamic aggregate constraint, the usual independence and identicality assumptions become consistent with the activity share distribution, hence multi-regional industrial migration can be represented by a set of probability evolution equations in a conservative Markovian from. We call this a Micro-Macro Composition Approach since the product of the aggregate prediction and the predicted activity share distribution gives the predicted activity distribution gives the predicted activity distribution which explicitly considers the underlying individual choice behavior. The model can be applied to interesting practical problems such as the plant location choice of multinational enterprise, the government industrial ploicy to attract international firms, and the optimal tax-transfer mix to influence activity location choice. We consider the latter as an example.

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Dynamic User Association based on Fractional Frequency Reuse

  • Ban, Ilhak;Kim, Se-Jin
    • Journal of Integrative Natural Science
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    • v.13 no.1
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    • pp.1-7
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    • 2020
  • This paper proposes a novel fractional frequency reuse(FFR) based on dynamic user distribution. In the FFR, a macro cell is divided into two regions, i.e., the inner region(IR) and outer region(OR). The criterion for dividing the IR and OR is the distance ratio of the radius. However, these distance-based criteria are uncertain in measuring user performance. This is because there are various attenuation phenomena such as shadowing and wall penetration as well as path loss. Therefore, we propose a novel FFR based on dynamic user classification with signal to interference plus noise ratio(SINR) of macro users and classify the FFR into two regions newly. Simulation results show that the proposed scheme has better performance than the conventional FFR in terms of SINR and throughput of macro cell users.

Basic Analysis on Fractal Characteristics of Cement Paste Incorporating Ground Granulated Blast Furnace Slag (고로슬래그 미분말 혼입 시멘트 페이스트의 프랙탈 특성에 관한 기초적 분석)

  • Kim, Jiyoung;Choi, Young Cheol;Choi, Seongcheol
    • Journal of the Korea Concrete Institute
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    • v.29 no.1
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    • pp.101-107
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    • 2017
  • This study aimed to conduct the basic analysis on the fractal characteristics of cementitious materials. The pore structure of cement paste incorporating ground granulated blast furnace slag (GGBFS) was measured using mercury intrusion porosimetry (MIP) and the fractal characteristics were investigated using different models. Because the pore structure of GGBFS-blended cement paste is an irregular system in the various range from nanometer to millimeter, the characteristics of pore region in the different scale may not be adequately described when the fractal dimension was calculated over the whole scale range. While Zhang and Li model enabled analyzing the fraction dimension of pore structure over the three divided scale ranges of micro, small capillary and macro regions, Ji el al. model refined analysis on the fractal characteristics of micro pore region consisting of micro I region corresponding to gel pores and micro II region corresponding to small capillary pores. As the pore size decreased, both models suggested that the pore surface of micro region became more irregular than macro region and the complexity of pores increased.

New SPICE Modeling for Bias-Dependent Gate-Drain Overlap Capacitance in RF MOSFETs (RF MOSFET의 바이어스 종속 게이트-드레인 오버렙 캐패시턴스의 새로운 SPICE 모델링)

  • Lee, Sangjun;Lee, Seonghearn
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.4
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    • pp.49-55
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    • 2015
  • The inaccuracy of the bias-dependent gate-drain overlap capacitance $C_{gdo}$ simulation in original BSIM4 and BSIM4 macro model using a diode is analyzed in detail. It is found that the accuracy of the macro model is better than of the BSIM4. However, the macro model cannot be used in the linear region. In order to remove the inaccuracy of the conventional models, a new BSIM4 macro model with a physical bias-dependent $C_{gdo}$ equation is proposed and its accuracy is validated in the full bias range.

A New Change Detection Method Based on Macro Block Unit for Selective Video Coding (선택적 영상 부호화를 위한 매크로 블록단위의 변화영역 검출방법)

  • 최재각;권순각;이종극
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.2C
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    • pp.172-180
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    • 2003
  • This paper propose a new change detection algorithm based on macro block unit for selective video coding scheme. The conventional method badly decides a macro block of unchanged region into a changed macro block due to a noise of the difference images. To solve the problem of the conventional method, we propose a new test statistic which is robust to the noise of the difference image. As shown in experimental results(Fig. 1∼3), the proposed algorithm shows more accurate segmentation results than the conventional method. Also, because the proposed detection method reduces the average numbers of changed macro block per frame to 55∼60% than the conventional method, it can improve the performance of the selective video coding at lower bit rates.

Modelling of shear deformation and bond slip in reinforced concrete joints

  • Biddah, Ashraf;Ghobarah, A.
    • Structural Engineering and Mechanics
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    • v.7 no.4
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    • pp.413-432
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    • 1999
  • A macro-element model is developed to account for shear deformation and bond slip of reinforcement bars in the beam-column joint region of reinforced concrete structures. The joint region is idealized by two springs in series, one representing shear deformation and the other representing bond slip. The softened truss model theory is adopted to establish the shear force-shear deformation relationship and to determine the shear capacity of the joint. A detailed model for the bond slip of the reinforcing bars at the beam-column interface is presented. The proposed macro-element model of the joint is validated using available experimental data on beam-column connections representing exterior joints in ductile and nonductile frames.

Therapeutic Efficacy of Minerals Supplement in Macro-minerals Deficient Buffaloes and its Effect on Haematobiochemical Profile and Production

  • Sharma, M.C.;Joshi, Chinmay;Sarkar, T.K.
    • Asian-Australasian Journal of Animal Sciences
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    • v.15 no.9
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    • pp.1278-1287
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    • 2002
  • To record the prevalence of macro-minerals deficiency in buffaloes, a survey was conducted in certain parts of Northern India. The prevalence of soil Ca, P, Mg, Na, P and K deficiency was 21.35%, 23.30%, 28.64%, 3.61% and 6.84%, respectively while that of fodder Ca, P, Mg, Na and K deficiency was 13.88%, 16.55%, 19.72%, 3.54% and 4.86%, respectively. The overall prevalence of serum (buffalo) Ca, P, Mg, Na and K deficiency in certain parts of northern India was 25.48%, 24.66%, 24.36%, 4.42% and 3.28%, respectively. The correlation coefficient of Ca, P, Mg, Na and K in soil, fodder and serum was significant and in most of the cases the values were above 0.6. The highest deficiency of macro-minerals i.e. Ca, P, Mg, Na and K was found in plain regions, followed by Tarai (foot hill of Himalayas) region and finally the hilly region. For therapeutic studies, three types of mineral mixture were prepared according to deficiency obtained and fed to three groups of deficient animals. Observations were recorded on 0, 30, 60 and 75 day. In group A animals normal mineral mixture was provided, where as in group C and D 10% and 25% more of Ca, P, Mg were provided, respectively. There was an increase in body weight, milk yield, haemoglobin concentration, and total erythrocyte count. Alanine aminotransferase, aspartate amino transferase in group D animals. There was a decrease in heart rate, respiratory rate and alkaline phosphatase in group D animal after mineral supplement. Thus showing the efficacy when supplements 3 provided to group D animals.

Parameter Extraction for BSIM3v3 RF Macro Model (BSIM3v3 RF Macro Model의 파라미터 추출)

  • Choi, Mun-Sung;Lee, Yong-Taek;Kim, Joung-Hyck;Lee, Seong-Hearn
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.671-674
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    • 2005
  • The series parasitic resistances ($R_s$, $R_g$, $R_d$, $R_{sub}$) of BSIM3v3 RF MOSFET macro model were directly extracted from measured S-parameters in the GHz region by using simple 2-port parameter equations. Also, overlap capacitance and junction capacitance parameters were extracted by tuning $S_{11}$, $S_{12}$, and $S_{22}$ respectively while DC-parameters and all parasitic resistances are fixed at previously extracted values. These data are verified to be accurate by observing good correspondence between modeled and measured S-parameters up to 10GHz.

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Implementation of a macro model to predict seismic response of RC structural walls

  • Fischinger, Matej;Isakovic, Tatjana;Kante, Peter
    • Computers and Concrete
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    • v.1 no.2
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    • pp.211-226
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    • 2004
  • A relatively simple multiple-vertical-line-element macro model has been incorporated into a standard computer code DRAIN-2D. It was used in blind predictions of seismic response of cantilever RC walls subjected to a series of consequent earthquakes on a shaking table. The model was able to predict predominantly flexural response with relative success. It was able to predict the stiffness and the strength of the pre-cracked specimen and time-history response of the highly nonlinear wall as well as to simulate the shift of the neutral axis and corresponding varying axial force in the cantilever wall. However, failing to identify the rupture of some brittle reinforcement in the third test, the model was not able to predict post-critical, near collapse behaviour during the subsequent response to two stronger earthquakes. The analysed macro model seems to be appropriate for global analyses of complex building structures with RC structural walls subjected to moderate/strong earthquakes. However, it cannot, by definition, be used in refined research analyses monitoring local behaviour in the post critical region.