• Title/Summary/Keyword: Lotka-Volterra model

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Multi-group Competitive Dynamics Modeling and Analysis between Major Automakers in Korean Automobile Market (한국 자동차 시장 내 주요 기업간 다집단 경쟁 다이나믹스 모델링 및 분석)

  • Song, Young Han;Kim, Young;Jung, Gisun;Kim, Yun Bae
    • Journal of the Korea Society for Simulation
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    • v.29 no.4
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    • pp.55-64
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    • 2020
  • Since the European Union-South Korea Free Trade Agreement entered into force in 2011, the Korean automobile market has grown rapidly, resulting in intensifying competition among companies in the market. European automakers gained price competitiveness, which intensified competition with Korean automakers. In such a situation, various studies on the Korean automobile market have been conducted, but studies such as market influencing factor analysis and consumer analysis have mainly been conducted, and there is no research on the analysis of competitive dynamics in the market. In this study, the competitive dynamics between Hyundai Motors, Kia Motors, Mercedes-Benz, and BMW, which are major automakers in the Korean automobile market, are analyzed. The competitive relationship between major automakers are modeled using the Lotka-Volterra (LV) model and the competitive dynamics over time are analyzed by applying the Moving Window. In order to explain the competitive dynamics effectively, we analyze it by subdividing it based on various influencing factors.

A Study on Forecasting the Demand of WCDMA Mobile Phones (WCDMA 이동통신 단말기 수요예측에 관한 연구)

  • Lee, Sang-Hoon;Lee, Byoung-Chul;Kim, Yun-Bae;Kim, Jae-Bum
    • Journal of the Korea Society for Simulation
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    • v.15 no.4
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    • pp.153-160
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    • 2006
  • The demand of domestic mobile service has been explosively increasing. The forthcoming WCDMA, which open in 2006, is also a key technology in the mobile service market. The WCDMA service needs HSPDA phones which will be evolved to HSDPA. In the aspect of drawing up management strategy, practical researches about forecasting the demands of new mobile phones are necessary. In this paper, we provide the modified the Lotka-volterra model as a forecasting model, which is concerned with effects of phone prices and performance.

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An analysis on the competition between KOS PI and KOS DAQ using the Lotka-Velterra model (Lotka-Volterra 모형을 이용한 코스피와 코스닥의 경쟁 분석)

  • 이성준;오형식;이덕주
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.1052-1058
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    • 2002
  • 본 연구의 목적은 만국 주식시장에서 코스닥이 도입된 이후 거래소 시장과 코스닥 시장의 경쟁상황에 대한 동태적 실증 분석을 실시하는 것이다. 이를 위하여 주식시장에 투자하는 투자자의 자금을 획득하기 위해 서로 경쟁하는 두 시장간의 관계를 경쟁상황을 고려한 확산 모형인 Lotka-Volterra 모형을 사용하여 모형화 하고. 일별 자료를 이용하여 각 연도별 확선 곡선을 추정하였다. 또한 추정된 곡선식의 계수들에 대한 분석을 통해서 두 시장간의 경쟁관계의 특성을 규명해 보았다. 분석 결과, 두 시장의 경쟁관계는 코스닥 시장이 도입된 직무에는 코스닥 시장이 정부의 중소벤처기업 지원 활성화와 투자자들의 많은 관심으로 인해 우위를 선점하다가, 이후 두 시장이 공생의 관계로 변모하였고. 최근에는 순수경쟁관계로 변화하고 있다는 사실이 실증적으로 도출되었다. 본 연구는 국내 주식시장이 경험하고 있는코스닥 시장 도입 이후의 시장구조 변화를 경쟁적 확산모형의 관점에서 모형화 하고, 이를 실증적으로 분석하여 경쟁관계의 동태적 변화 상황에 대한 해석을 시도하였다는 점에서 그 의의를 찾을 수 있다.

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An estimation method for stochastic reaction model (확률적 방법에 기반한 화학 반응 모형의 모수 추정 방법)

  • Choi, Boseung
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.4
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    • pp.813-826
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    • 2015
  • This research deals with an estimation method for kinetic reaction model. The kinetic reaction model is a model to explain spread or changing process based on interaction between species on the Biochemical area. This model can be applied to a model for disease spreading as well as a model for system Biology. In the search, we assumed that the spread of species is stochastic and we construct the reaction model based on stochastic movement. We utilized Gillespie algorithm in order to construct likelihood function. We introduced a Bayesian estimation method using Markov chain Monte Carlo methods that produces more stable results. We applied the Bayesian estimation method to the Lotka-Volterra model and gene transcription model and had more stable estimation results.

Forecasting Model of Container Transshipment Traffic Volume in Northeast Asia (동북아시아 환적물동량 예측모델 연구)

  • Lee, Byoung-Chul;Kim, Yun-Bae
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.4
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    • pp.297-303
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    • 2011
  • Major ports in Northeastern Asia engage in fierce competition to attract transshipment traffic volume. Existing time series analyses for analyzing port competition relationships examine the types of competition and relations through the signs of coefficients in cointegration equations using the transshipment traffic volume results. However, there are cases for which analyzing competing relationships is not possible based on the results of the transshipment traffic volume data differences and limitations in the forecasting of traffic volume. Accordingly, we used the Lotka-Volterra (L-V) model,also known as the ecosystem competitive relation model, to analyze port competition relations for the long-term forecast of South Korean transshipment traffic volume.

Comparison of a Microbiological Model Simulation with Microcosm Data

  • Lee, Jae-Young;Tett, Paul;Jones, Ken
    • Journal of the korean society of oceanography
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    • v.39 no.4
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    • pp.222-233
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    • 2004
  • Using nitrogen as the limiting nutrient, the default version of a microplankton-detritus model linked chlorophyll concentration to the autotroph nitrogen. However, phosphorus dynamics were added to simulate the results of a microcosm experiment. Using standard parameter values with a single value of microheterotroph fraction in the microplankton taken from the observed range, the best simulation successfully captured the main features of the time-courses of chlorophyll and particulate organic carbon, nitrogen and phosphorus, with root-mean-square error equivalent to 29% of particulate concentration. A standard version of microbiological model assumes complete internal cycling of nutrient elements; adding a term for ammonium and phosphate excretion by microheterotrophs did not significantly improve predictions. Relaxing the requirement for constant microheterotroph fraction resulted in an autotroph-heterotroph model AH, with dynamics resembling those of a Lotka-Volterra predator-prey system. AH fitted the microcosm data worse than did MP, justifying the suppression of Lotka-Volterra dynamics in MP. The paper concludes with a discussion of possible reasons for the success of the simple bulk dynamics of MP in simulating microplankton behaviour.

A Nonlinear Theory for the Lotka-Volterra Model with an External lnput

  • Mino Yang;Sangyoub Lee;Seong Keun Kim;Kook Joe Shin;Moon Hee Ryu;Song Hi Lee;Dong J. Lee
    • Bulletin of the Korean Chemical Society
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    • v.13 no.5
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    • pp.560-565
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    • 1992
  • A new perturbation theory called the star expansion method is used to obtain an approximate nonlinear solution of the Lotka-Volterra model under the influence of some kinds of external input. The effects of nonlinearity, amplitude and frequency of the external input on the chemical oscillations in the model are evaluated by taking specific values for the model parameters, and the results are discussed in detail.

Forecasting of ADSL vs VDSL; by Using Lotka-Volterra Competition (LVC) Model

  • Cho, Byung-sun;Cho, Sang-Sup
    • Journal of Korea Technology Innovation Society
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    • v.6 no.2
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    • pp.213-227
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    • 2003
  • 초고속 인터넷 서비스는 사용자수의 증가와 더불어 고객의 다양한 욕구 즉 인터넷 방송, 주문형비디오(VOD)서비스, 원격교육, 고화질 TV 등 대용량의 멀티미디어 서비스에 대한 욕구가 폭발적으로 증가하고 있다. 이러한 욕구를 충족하기 위해서는 현재의 초고속 인터넷서비스로서는 속도에 대한 한계에 부딪치게 되어 통신사업자들은 새로운 기술 또는 여러 가지 기술적 대안들을 추구하고 있다. 2002년부터 시작하여 2003년 이후에는 멀티미디어 수요의 증가에 따라 ADSL을 대체하는 기술로 VDSL이 등장하여 매년 꾸준한 신규가입자 수요가 발생하고 있으나, 통신사업자들은 각각의 망 특성, 시장위치, 전략적 필요성 둥에 의해 상용화를 적극 검토,추진하고 있으나 각각 전개하는 방식은 조금씩 다르다. 따라서 본 연구에서는 통신사업자들의 가입자망 진화 전략에 대해 살펴 본 다음 Lot3n-Volterra Competition (LVC) 모델을 이용 ADSL 과 VDSL 두 기술간의 상호 경쟁 및 대체를 통해 어떻게 진화 되어가는지를 살펴보았다. 대표적인 통신사업자인 KT는 막강한 자금력을 바탕으로 시장 확대 및 경쟁사와의 차별화를 위해 VDSL 서비스 조기도입을 서두르고 있고, 하나로는 자금의 열세로 인한 ADSL 투자비를 회수 할때까지 VDSL 서비스를 연기하고 있는 실정이다. ADSL과 VDSL 두 기술의 관계는 Lotka-Volterra Competition (LVC) 모델을 이용한 시뮬레이션 결과를 통해 빠른 속도와 비슷한 가격대의 VDSL이 침략자(predator)로 기존 시장 지배자인 ADSL을 사냥감(prey)으로 빠른 속도로 대체해 나가는 것을 알 수 있었다.

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Competition and Cooperation Dynamics between Gwangyang Port and Major Container Ports in Northeast Asia (광양항과 동북아 주요 컨테이너항만간 경협 추세분석)

  • Park, Byung-In
    • Journal of Korea Port Economic Association
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    • v.31 no.2
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    • pp.85-101
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    • 2015
  • This study formulates a development strategy for Gwangyang port through the analysis of its competition with other major Northeast Asian ports. A revised BCG matrix is applied to estimate the change in competition between the major ports in Northeast Asia and the Lotka-Volterra model is used for the competitor analysis. The growing competitive power and influence of Chinese ports, continued competitive advantage of Busan port, diminishing competitiveness of Gwangyang and Incheon ports, and disappearing competitive position of Japanese ports in Northeast Asia are all confirmed. In addition, according to the relationship between Gwangyang port and other major Northeast Asian ports from 2007 to 2014, Gwangyang port has changed to a predatory from a win/win relation with Busan port and has maintained its predatory relationship with Hong Kong port in terms of transshipment cargoes. Moreover, Gwangyang port has formed predatory relationships with Shanghai and Ningbo ports, a pure competitive relation with Tianjin port, and a win/win relation with Qingdao and Dalian ports. Overall, predatory relationships between Gwangyang port and other Northeast Asia ports increased from 2007 to 2014. The counterstrategies for Gwangyang port to address this situation include establishing cooperative relations and continuing the win/win relationships with cooperative ports.

Simulation Analysis of Multi-group Competitive Relationships between Platforms in Social Network Service (SNS) Market (SNS 시장 내 플랫폼 간 다집단 경쟁관계 시뮬레이션 분석)

  • Choi, Jong You;Jung, Gisun;Kim, Young;Kim, Yun Bae
    • Journal of the Korea Society for Simulation
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    • v.29 no.4
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    • pp.9-19
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    • 2020
  • The number of customers on Social Network Services(SNS) is rapidly increasing with the spread of smartphones. As of 2018, about 2.7 billion people of the world population (about 7.1 billion people) and more than 31.2 million people of the total population of South Korea (about 50.1 million) use SNS. There are several studies have been conducted on increasing SNS market. Most of them, however, were not quantitative but qualitative studies. This study is conducted on domestic SNS market to identify the competitive relationship among SNS platforms with great proportion in South Korea, such as Facebook, Instagram and Twitter. The objective is to suggest some hypotheses of the competitive relations, test them, and finally verify the trend of domestic SNS market. Competitive Lotka-Volterra (LV) model is used to find out the competitive relationships and Moving Window is also used to show the changes of them over time. In order to test the hypotheses on the relationships, some experiments are performed with Moving Window technique. Thus, the relations among the platforms and the changes of them over time are identified.