• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.21 no.48
• /
• pp.73-87
• /
• 1998

Recently the international transfer pricing became the most popular topic in accounting of the research as well as of the practice. Modern corporations have been experiencing a lot of changes in managerial control technique as their scale and scope of activities grows and the environment in which they operate changes rapidly. If there are internal transactions in a decentralized firm, the necessity of coordination among the divisions is inevitable. Transfer pricing in a decentalized company provides an excellent example of the coordinating role of information. One of the most important reason for a form to have a decentalized structure is the improved decision making at the lower level due to better access to information. International transfer pricing is not merely a problem of pricing but coordination of transfers and other collective or individual actions to derive rents from intergration. Such coordination can be achived through the performance evaluation scheme which is partly based upon transfer price.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.421-426
• /
• 2005

Fuzzy logic, neural network, fuzzy-neural network play an important as the key technology of linguistic modeling for intelligent control and decision making in complex systems. The fuzzy-neural network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes particle swarm optimization algorithm based optimal learning fuzzy-neural network (PSOA-FNN). The proposed learning scheme is the fuzzy-neural network structure which can handle linguistic knowledge as tuning membership function of fuzzy logic by particle swarm optimization algorithm. The learning algorithm of the PSOA-FNN is composed of two phases. The first phase is to find the initial membership functions of the fuzzy neural network model. In the second phase, particle swarm optimization algorithm is used for tuning of membership functions of the proposed model.

• Proceedings of the Korean Environmental Health Society Conference
• /
• 2003.06a
• /
• pp.196-198
• /
• 2003

A prospect of environmental health information system was proposed for managing residents health of industrial complex area, which might imply the health effects by environmental pollution. From reviewing other environmental or health information system and making case database for past research, the direction and approach plans suggested construction of database and its structure for surveillance of health effects from an environmental pollution by environmental epidemiology in Korea. Results showed future requirement for developed algorithm which supports decision maker in environmental health policy and administration process.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.5 no.1
• /
• pp.1-6
• /
• 2005

In this paper, we propose an emotion recognition method using the facial images and speech signals. Six basic emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. Facia] expression recognition is performed by using the multi-resolution analysis based on the discrete wavelet. Here, we obtain the feature vectors through the ICA(Independent Component Analysis). On the other hand, the emotion recognition from the speech signal method has a structure of performing the recognition algorithm independently for each wavelet subband and the final recognition is obtained from the multi-decision making scheme. After merging the facial and speech emotion recognition results, we obtained better performance than previous ones.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2004.10a
• /
• pp.303-308
• /
• 2004

Fuzzy logic, neural network, fuzzy-neural network play an important as the key technology of linguistic modeling for intelligent control and decision making in complex systems. The fuzzy-neural network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes learning approach of fuzzy-neural network by immune algorithm. The proposed learning model is presented in an immune based fuzzy-neural network (FNN) form which can handle linguistic knowledge by immune algorithm. The learning algorithm of an immune based FNN is composed of two phases. The first phase used to find the initial membership functions of the fuzzy neural network model. In the second phase, a new immune algorithm based optimization is proposed for tuning of membership functions and structure of the proposed model.

• The Journal of Korean Association of Computer Education
• /
• v.4 no.2
• /
• pp.13-20
• /
• 2001

To solve modern social problems, it is important that improve the democratic citizenship quality of people. This quality includes the rational and democratic problem-solving capacity, decision-making capacity, democratic skills and attitudes such as human dignity, dialogue, compromise. To use an educational network simulation game that has the merits of game, simulatio and network will help children to improve the democratic citizenship educaiton. This study explorers the structure, flow, system, database, interface and teaching-learning tool for this educational network simulation game.

• IE interfaces
• /
• v.11 no.1
• /
• pp.1-14
• /
• 1998

Various problems on logistics systems have been dealt with recently as research issues since they were regarded critical for taking up a better position in the increasingly competitive global market. In particular, the freight transportation is considered as a key factor which affects the economic competitiveness of a whole nation as well as the production cost of individual companies. The objective of this study is to identify main issues and review recent foreign and domestic studies related to the freight transportation. The studies are classified into two categories according to the hierarchical level in the decision making process: infra structure design and transportation strategies, service design and operation. Main issues are introduced with a brief review on the related literature and methodologies applied.

• Korean Management Science Review
• /
• v.32 no.3
• /
• pp.37-54
• /
• 2015

This paper suggests energy efficiency which can be the foundation on corporate profit and effective energy management following by change of global climate and of energy-related regulations. Using comparable financial information and information related to energy use, an DEA (Data Envelopment Analysis) model has been used to identify energy efficiency with DMU (Decision Making Unit)s which are companies subjected to reduce greenhouse gas emission in 2009. Through this research, different from existing researches, environmental variables which can influence on energy efficiency are identified. The results show as follows. First, most of companies follow IRS, which means scale of economy exists among units so that they have more opportunity to increase efficiency by increasing scale of inputs. Second, this research identified that depending on the difference of environmental characters such as the emission structure and the size of companies, energy efficiency of the companies turns out differently.

• Journal of the military operations research society of Korea
• /
• v.24 no.2
• /
• pp.30-42
• /
• 1998

The problems of evaluating Telecommunication Management Network Operation Systems (TMNOS) are Multi-Criteria Decision Making (MCDM) problems. A method for evaluating the TMNOS has not yet been clearly defined. A study of an effective and efficient management methodology for TMNOS, which are heterogeneous and complex, is needed. The components of TMNOS have attributes of dependence between considered criteria or alternatives. This type of dependence impact between criteria or alternatives is a network structure. We suggest a methodology of Analytic Delphi Network Process (ADNP) for evaluating TMONS. The TMNOS problem of Korea Telecom (KT) is suggested as a case study of the ADNP.

• Journal of the Korean Society of Systems Engineering
• /
• v.2 no.1
• /
• pp.48-53
• /
• 2006

A web-based program life-cycle management(PLM) system is introduced to implement the system engineering processes and to provide the development traceability online. This information system aims for the realization of essential system engineering management techniques currently applied to the space launch system development program including management of configuration and data based on the work breakdown structure(WBS), WBS, bill of materials and mass properties. The system enhances communication and gives access to the development data with relevant information such as data-to-data relation and approval status/history through the web, and preserve all of the development data throughout the program life-cycle. Further improvement of the system is planned to implement the program management processes and co provide integrated information useful for the programmatic decision making.