• Journal of Information Processing Systems
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• 제14권2호
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• pp.487-498
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• 2018

The purpose of the high-speed railway construction is to better satisfy passenger travel demands. Accordingly, the design of the train working plan must also take a full account of the interests of passengers. Aiming at problems, such as the complex transport organization and different speed trains coexisting, combined with the existing research on the train working plan optimization model, the multiobjective bi-level programming model of the high-speed railway passenger train working plan was established. This model considers the interests of passengers as the center and also takes into account the interests of railway transport enterprises. Specifically, passenger travel cost and travel time minimizations are both considered as the objectives of upper-level programming, whereas railway enterprise profit maximization is regarded as the objective of the lower-level programming. The model solution algorithm based on genetic algorithm was proposed. Through an example analysis, the feasibility and rationality of the model and algorithm were proved.

• Environmental Engineering Research
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• 제19권4호
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• pp.369-373
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• 2014

In view of the problem of the invalidity of the incentive mechanism of the ecological subsidies, which is due to the information asymmetry between the government's supervision and the enterprise endeavor to fulfill their ecological responsibilities, this paper attempts to analyze the supervision of ecological subsidies based on the Principal-agent Model. Two conclusions are drawn: firstly, the government's supervision regarding the effect of the enterprises' fulfilling the ecological responsibilities can significantly reduce the information asymmetry; secondly, the government's incentive strength and the enterprises' endeavor level of fulfilling the ecological responsibilities are both improving the surveillance dynamics. Here is the suggestion: with the increasing of the surveillance dynamics of the government and the transparency of the enterprises' fulfilling the ecological responsibilities, the government should meanwhile increase the subsidies incentive strength, therefore, to promote the effort level of the enterprises' fulfilling the ecological responsibilities to approach to the Pareto optimal value.

• 한국경제지리학회지
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• 제11권1호
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• pp.24-44
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• 2008

지금까지 조절이론은 주로 경제적 및 사회적 측면의 조절과정에 주목해 온 반면, 공간적 측면의 조절과정은 간과해 왔다. 특히 탈사회주의 체제전환 과정에 대한 조절이론적 접근은 거의 이루어진 바가 없다. 이에 본 논문은 탈사회주의 체제전환 과정에서 나타나는 공간경제의 전환을 조절이론의 관점에서 이론화하고자 한다. 공간경제는 경제체제에 따른 사회적 관계를 반영하고 이를 조건지우는 맥락으로서 사회적 재생산이 일어나는 배경이다. 따라서 국가 사회주의에서 자본주의로의 체제전환 과정이 일어나면, 이와 관련한 사회적 관계의 변동이 수반될 뿐만 아니라 구체적 수준의 기업 및 산업 네트워크의 변동이 초래된다. 이와 같은 맥락에서, 우선 본 논문은 기업을 둘러싼 각종의 네트워크를 집합적 의미의'조절양식'으로 간주하는'기업 조절양식'개념 틀을 바탕으로 탈사회주의 체제전환과 관련한 기업 내, 기업 간, 기업 외 관계의 구체적인 분석 내용을 논의하였다. 다음으로 사회경제체계의 거버넌스와 관련한 제도 및 네트워크의 특성에 따라서, 탈 착근적(단선적 성격의 체제이행), 착근적(연속적 성격의 체제전환), 과잉 착근적(과거 유산에 고착된 성격의 체제전환)인 공간경제 유형을 제시하고 이를 이론적 수준에서 설명하였다.

• 산업경영시스템학회지
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• 제40권2호
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• pp.121-128
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• 2017

This paper was to evaluate social enterprises' management efficiency with Data Envelope Analysis (DEA). The data was based on the 168 social enterprises' of annual performance reports published in 2015. The research focused on to measure both financial efficiency and social impact of the companies simultaneously. To apply DEA, the paper classified the enterprises into seven types based on types of socal impacts which each company provides before the estimation of the efficiency. The research results showed that group D, which employes disadvantaged people, provides social services and shares resources was the most efficient group and had higest net worths in Pure Technical Efficiency. In contrast, Group B, which only employs social advantage people and provides social service, was the least efficient one. The research suggests a practical and efficient framework in measuring social enterprises' management efficiency, including both the financial performance and social impacts simultaneously with their self-publishing reports. Because the Korea Social Enterprise Promotion Agency does not open business reports which social enterprises submit each year, there are basic limitations on researchers attempting to analyse with data from all social enterprises in Korea. Thus, this study dealt with only 10% of the social enterprises which self-published their performance report on the Korea Social Enterprise Promotion Agency's web site. Regardless of these limitations, this study suggested substantial methods to estimate management efficiency with the self-published reports. Because self-publishing is increasing each year, it will be the main source of information for researchers in examining and evaluating social enterprises' financial performance or social contribution. The research suggests a practical and efficient framework in measuring social enterprises' management efficiency, including both the financial performance and social impacts simultaneously with their self-publishing reports. The research results suggest not only list of efficient enterprises but also methods of improvement for less efficient enterprises.

• 산업경영시스템학회지
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• 제30권2호
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• pp.89-98
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• 2007

In this paper the economic value of weather forecasts is valuated for profit-oriented enterprise decision-making situations. Value is estimated in terms of monetary profits (or benefits) resulted from the forecast user's decision under the specific payoff structure, which is represented by a profit/loss ratio model combined with a decision function and a value score (VS). The forecast user determines a business-related decision based on the probabilistic forecast, the user's subjective reliability of the forecasts, and the payoff structure specific to the user's business environment. The VS curve for a meteorological forecast is specified by a function of the various profit/loss ratios, providing the scaled economic value relative to the value of a perfect forecast. The proposed valuation method based on the profit/loss ratio model and the VS is adapted for hypothetical sets of forecasts and verified for site-specific probability of precipitation forecast of 12 hour and 24 hour-lead time, which is generated from Korea meteorological administration (KMA). The application results show that forecast information with shorter lead time can provide the decision-makers with great benefits and there are ranges of profit/loss ratios in which high subjective reliability of the given forecast is preferred.

• 한국정보통신학회논문지
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• 제18권10호
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• pp.2323-2330
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• 2014

정보화 사회의 발전으로 각 조직체는 정보시스템 의존도가 매우 높아지고 있다. 이에 따라 정보시스템에 장애가 발생하여 신속하게 대응하지 못하면 조직체의 신뢰에 치명적인 결과를 초래하게 된다. 최근에는 정보시스템의 지나친 업무 의존도 때문에 사이버테러의 주요 공격 목표가 되고 있다. 대학의 정보시스템은 기업의 정보시스템 보다 안전성이 더욱 취약하지만, 정보시스템의 가용성 확보를 위한 정책지원이 거의 없는 실정이다. 본 논문은 대학의 학사정보 서비스를 위해 시스템 장애에 대비한 재난 복구의 이론적인 내용을 고찰하고 학사정보 서비스의 가용성이 확보될 수 있는 PC 기반 학사행정 고가용성 정보시스템 구현에 관하여 연구하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1193-1215
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• 2021

The measurement of the key product quality index plays an important role in improving the production efficiency and ensuring the safety of the enterprise. Since the actual working conditions and parameters will inevitably change to some extent with time, such as drift of working point, wear of equipment and temperature change, etc., these will lead to the degradation of the quality variable prediction model. To deal with this problem, the selective integrated moving windows based principal component regression (SIMV-PCR) is proposed in this study. In the algorithm of traditional moving window, only the latest local process information is used, and the global process information will not be enough. In order to make full use of the process information contained in the past windows, a set of local models with differences are selected through hypothesis testing theory. The significance levels of both T - test and χ² - test are used to judge whether there is identity between two local models. Then the models are integrated by Bayesian quality estimation to improve the accuracy of quality variable prediction. The effectiveness of the proposed adaptive soft measurement method is verified by a numerical example and a practical industrial process.

• 4차산업연구
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• 제2권1호
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• pp.33-43
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• 2022

Purpose - With the rapid development of information technology, the digital economy has become an important grip of the new development pattern, and the digital transformation of enterprises is a major trend. As SMEs are the mainstay of the economy and employment, it is important to study the digital transformation of SMEs to promote the development of the digital economy. Research design, data, and methodology - Based on a resource-based view, this report analyses the current situation and issues of digital transformation of SMEs from the perspective of digital orientation as well as the breadth and depth of technological capabilities of enterprises, using data from a survey of 200 manufacturing enterprises in China. Result - The results show that SMEs generally have a digital transformation mindset, but a weak digital foundation. In order to execute a digital strategy, companies need digital transformation capabilities. These behavioral capabilities are guided by the strategic direction of the business, and companies with strong capabilities are always trying to tap into the full digital potential. Conclusion - In order to effectively promote the digital transformation of SMEs, we suggest that SMEs pay attention to digital capability building, make good use of digital platforms and network resources, and lay a solid foundation for digital transformation; meanwhile, we suggest that government departments play a guiding and supporting role to build a cross-industry and cross-sector digital synergy system to help promote the development of SMEs' digital transformation. This paper presents some suggestions from both the internal and external environment of the enterprise, with the expectation of contributing to the digital transformation practices of SMEs.

• 경영정보학연구
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• 제4권2호
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• pp.191-208
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• 2002

e-비즈니스를 통한 사업을 시작하려면 다양한 지식과 많은 정보가 뒷받침되어야 하는데, 디지털 네트워크를 기반으로 한 기업경영의 변화 즉, 기업의 비용 절감, 재고 감축, 사이클 타임 감축, 고객 서비스 개선, 효과적인 판매 및 마케팅, 새로운 시장 개척 등은 종래의 사업모형과 근본적으로 다른 특성을 가지고 있다. 그 가능성과 잠재력을 인지하고 막대한 유무형의 효과를 창출할 수 있는 통합적 e-비즈니스 모형을 구축하고, 이를 추진하기 위한 비전과 전략마련의 이론적 틀을 연구해야 할 필요성이 매우 크다. 따라서 본 연구는 e-비즈니스의 기회창출 개념 및 전개방법(시장조사, 아이템선정, 경쟁업체 분석, 내부역 량 평가, 비즈니스모델설계, 마케팅전략 수립)들을 조사하고, e-비즈니스의 성공요인과 실패요인에 대해서도 살펴본 후, 결론적으로 e-비즈니스의 기회창출 방안들을 제시해보고자 하는데 연구의 목적을 두었다.

• Journal of Information Processing Systems
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• 제16권3호
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• pp.612-628
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• 2020

This paper presents a new approach for detecting abnormal behaviors in complex surveillance scenes where anomalies are subtle and difficult to distinguish due to the intricate correlations among multiple objects' behaviors. Specifically, a cascaded probabilistic topic model was put forward for learning the spatial context of local behavior and the temporal context of global behavior in two different stages. In the first stage of topic modeling, unlike the existing approaches using either optical flows or complete trajectories, spatio-temporal correlations between the trajectory fragments in video clips were modeled by the latent Dirichlet allocation (LDA) topic model based on Markov random fields to obtain the spatial context of local behavior in each video clip. The local behavior topic categories were then obtained by exploiting the spectral clustering algorithm. Based on the construction of a dictionary through the process of local behavior topic clustering, the second phase of the LDA topic model learns the correlations of global behaviors and temporal context. In particular, an abnormal behavior recognition method was developed based on the learned spatio-temporal context of behaviors. The specific identification method adopts a top-down strategy and consists of two stages: anomaly recognition of video clip and anomalous behavior recognition within each video clip. Evaluation was performed using the validity of spatio-temporal context learning for local behavior topics and abnormal behavior recognition. Furthermore, the performance of the proposed approach in abnormal behavior recognition improved effectively and significantly in complex surveillance scenes.