• Economic and Environmental Geology
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• v.1 no.1
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• pp.70-73
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• 1968

In Korea, ground water exploration by the electric method as a major prospecting tool has been carried out mainly in alluvial deposits, So it is considered to be important to understand the principle concerning the electrical and hydrological properties of alluvium. Factors which affect on the electrical and hydrological properties of alluvium were investigated. Major elements in ground water exploration are porosity and dermeability for most alluvial deposits with exceptions in some particular areas. Much water yield can be expected where alluvial materials have large porosity and small particle size while large particle size in necessary for good permeability. Problem is to locate the points which have comparatively large porosity and good permeability at a time. It is known that electrical resistivity method is proved useful to solve the above problem. The conclusion is: Localities which have greater alluvium thickness(7 to 10m) and 200 to 500 ohm -m of real resistivity value are suitable for well site in alluvial deposits in Korea where alluvium thickness is comparatively small(less than 10m in generaa) and bedrock formations are mainly composed of granite gneiss and granite.

• Economic and Environmental Geology
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• v.28 no.4
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• pp.433-438
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• 1995

The most popular minimization method is based on the least-squares criterion, which uses the $L_2$ norm to quantify the misfit between observed and synthetic data. The solution of the least-squares problem is the maximum likelihood point of a probability density containing data with Gaussian uncertainties. The distribution of errors in the geophysical data is, however, seldom Gaussian. Using the $L_2$ norm, large and sparsely distributed errors adversely affect the solution, and the estimated model parameters may even be completely unphysical. On the other hand, the least-absolute-deviation optimization, which is based on the $L_1$ norm, has much more robust statistical properties in the presence of noise. The solution of the $L_1$ problem is the maximum likelihood point of a probability density containing data with longer-tailed errors than the Gaussian distribution. Thus, the $L_1$ norm gives more reliable estimates when a small number of large errors contaminate the data. The effect of outliers is further reduced by M-fitting method with Cauchy error criterion, which can be performed by iteratively reweighted least-squares method.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.39-54
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• 1997

This paper presents four process models for machining processes : 1) an economical mathematical model of machining process, 2) a prediction model for surface roughness, 3) a decision model for fuzzy cutting conditions, and 4) a judgment model of machinability with automatic selection of cutting conditions. Each model was developed the economic machining, and these models were applied to theories widely studied in industrial engineering which are nonlinear programming, computer simulation, fuzzy theory, and neural networks. The results of this paper emphasize the human oriented domain of a nonlinear programming problem. From a viewpoint of the decision maker, fuzzy nonlinear programming modeling seems to be apparently more flexible, more acceptable, and more reliable for uncertain, ill-defined, and vague problem situations.

• Journal of Korea Port Economic Association
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• v.22 no.1
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• pp.175-198
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• 2006

This paper presents a network capacity model that can be used as an analytical tool for strategic planning and resource allocation for multimodal transportation systems. In the context of freight transportation, the multimodal network capacity problem (MNCP) is formulated as a mathematical model of nonlinear bi-level optimization problem. Given network configuration and freight demand for multiple origin-destination pairs, the MNCP model is designed to determine the maximum flow that the network can accommodate. To solve the MNCP, a heuristic solution algorithm is developed on the basis of a linear approximation method. A hypothetical exercise shows that the MNCP model and solution algorithm can be successfully implemented and applied to not only estimate the capacity of multimodal network, but also to identify the capacity gaps over all individual facilities in the network, including intermodal facilities. Transportation agencies and planners would benefit from the MNCP model in identifying investment priorities and thus developing sustainable transportation systems in a manner that considers all feasible modes as well as low-cost capacity improvements.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.2
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• pp.52-61
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• 1996

Almost every national parks in the world have problems in their own way. The centennial history of national park itself was that of problem solving. Various attempts and testing have done. A successful example of national park is, however, hardly find out till today except for several western countries. Internationally, the socio-economic approach has become a main stream. However, this approach has resulted into a natural degradation of large-scale as well as in the Third world countries and Korea. The other stream in this area has cultural aspects. The way which decreasing socio-economic conflicts and pursuing solutions by the cultural approach to the problems gives good consequences in the national parks of western europe. The different settings like Korea which have amounts of cultural differences, in contrast with U.S.A. the birthplace of national parks, this way should suggest new possibilities too.

• Resources Recycling
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• v.12 no.2
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• pp.28-35
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• 2003

The powder utilization is the one of the best recycling methods for the waste tires. However, economic problem still exist. In order to overcome an economic problem the ground rubber particles are surface modified, which induced to the rubber particles that have good mechanical properties and higher compatibility. In this study, we investigated ultrasonic treatment and reduced rubber particle size. Results showed that sulfur cross-linkage network of the waste rubber is changed by the ultrasonic treatment.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.1100-1102
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• 1998

This paper presents the Two-Phase Neural Network(TPNN) to slove the Optimal Economic Environmental Dispatch problem of thermal generating units in electric power system. The TPNN, Compared with other Neural Networks, is very accurate and it takes smaller computer time for a optimization problem to converge. In this work, in order to provide useful information to the system operator, we are used the total environmental weight and relative weighting of individual insults(e.g., $SO_2$, $NO_X$ and $CO_2$) also, presented the simulation results of the dispatch changes according to the weights. The Two-Phase Neural Network is tested on a 11-unit 3-pollutant system to prove of effectiveness and applicability.

• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.151-156
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• 2015

Recently, the government tends to address the health policy as an economic logic. However, health policy must be priority to national health right than economic logic. Thus, in this paper analyzes the problems of telemedicine for telemedicine that are at issue in South Korea, based on this, and presents reasonable health policy directions for telemedicine. To amend the law and legislation the health policy and law, analyze the rationality, feasibility of law and sufficient review should be implemented. Comparing to the foreign which introduced telemedicine earlier, discussion on telemedicine in South Korea remains a long way to go and it is now beginning step. Therefore, it should not forget that the health policy of the government with crass insensitivity can bring great disaster. Above all, to the health care, the sufficient review and social consensus which can reduce the side-effects are priority.

• Industrial Engineering and Management Systems
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• v.14 no.2
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• pp.159-174
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• 2015

Remanufacturing used, end-of-life products is a complex problem involving multiple types of products that may share common parts. Recovery targets assigned by market demand and environmental legislation add more difficulty to the problem. Manufacturers now need to achieve specified take-back and recovery rates while fulfilling demands for remanufactured products. To assists in the demand- and legislation-driven remanufacturing of a family of products (i.e., multiple products that share common parts), this paper introduces a bi-objective mixed integer linear programming (MILP) model for optimizing remanufacturing. The model identifies optimal remanufacturing plans for a product family, whereby, the remanufacturer can achieve demand and recovery targets more profitably and in an environmentally-friendly manner. The model can also be used to quantify and justify the economic and environmental benefits of a product family from a remanufacturing perspective. A case study is presented for remanufacturing an alternatorfamily of products.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.8
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• pp.484-489
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• 2004

When the energy resource available to a particular plant (be it coal, oil, gas, water, or nuclear fuel) is a limiting factor in the operation of the plant, the entire economic dispatch calculation must be done differently. Each economic dispatch calculation must account for what happened before and what will happen in the future. This paper presents a formulation and a solution method for the optimization problem with a fuel constraint in a competitive electricity market. Take-or- Pay (TOP) contract for an energy resource is the typical constraint as a limiting factor. Two approaches are proposed in this paper for modeling the dispatch calculation in a market mechanism. The approaches differ in the subject who considers and inserts the fuel-constraint into its optimization problem. Market operator and each power producer having a TOP contract are assumed as such subjects. The two approaches are compared from the viewpoint of profits. surplus. and social welfare on the basis of Nash Equilibrium.