• Geomechanics and Engineering
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• v.10 no.3
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• pp.269-284
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• 2016

Simplified techniques based on in situ testing methods are commonly used to assess seismic liquefaction potential. Many of these simplified methods were developed by analyzing liquefaction case histories from which the liquefaction boundary (limit state) separating two categories (the occurrence or non-occurrence of liquefaction) is determined. As the liquefaction classification problem is highly nonlinear in nature, it is difficult to develop a comprehensive model using conventional modeling techniques that take into consideration all the independent variables, such as the seismic and soil properties. In this study, a modification of the Multivariate Adaptive Regression Splines (MARS) approach based on Logistic Regression (LR) LR_MARS is used to evaluate seismic liquefaction potential based on actual field records. Three different LR_MARS models were used to analyze three different field liquefaction databases and the results are compared with the neural network approaches. The developed spline functions and the limit state functions obtained reveal that the LR_MARS models can capture and describe the intrinsic, complex relationship between seismic parameters, soil parameters, and the liquefaction potential without having to make any assumptions about the underlying relationship between the various variables. Considering its computational efficiency, simplicity of interpretation, predictive accuracy, its data-driven and adaptive nature and its ability to map the interaction between variables, the use of LR_MARS model in assessing seismic liquefaction potential is promising.

• Korean Journal of Organic Agriculture
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• v.22 no.4
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• pp.561-579
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• 2014

This research estimates the necessity of a better governance plan on the purpose of fulfillment energy recovery by building resource recycling system for biomass resources and waste resources that derive from agricultural and mountain village areas. The utilization of new renewable energy technology which uses waste and biomass sources diverse as variety of resources, collecting method, operator etc. and is structurally complicated the formation of policy is also very difficult. There is failure because of the problems which occurs from the policy led by government. Biomass Town Development Project should be made through the central government and the local government integrated support system and should be formed a consultative group in order to process the project mutually with these two department including the experts from the related areas. This consultative group, while government organizations carry out the hub function of strategic knowledge management, should carry out the control tower function to be able to be net working transfer the information with the cooperation of private and government so vitalize the communication area among the related actors. And to be able to increase the participation rate of the local people the consistent and various educations should be given so a smooth business promotion progress will be desired through the change of perception and coactive participation of people.

• Journal of the Korean Mathematical Society
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• v.58 no.6
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• pp.1461-1484
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• 2021

We deal with the following elliptic equations: $\{-div({\varphi}^{\prime}(\left|{\nabla}z\right|^2){\nabla}z)+V(x)\left|z\right|^{{\alpha}-2}z={\lambda}{\rho}(x)\left|z\right|^{r-2}z+h(x,z),\\z(x){\rightarrow}0,\;as\;\left|x\right|{\rightarrow}{\infty},$ in ℝ^N , where N ≥ 2, 1 < p < q < N, 1 < α ≤ p^*q'/p', α < q, 1 < r < min{p, α}, φ(t) behaves like t^q/2 for small t and t^p/2 for large t, and p' and q' the conjugate exponents of p and q, respectively. Here, V : ℝ^N → (0, ∞) is a potential function and h : ℝ^N × ℝ → ℝ is a Carathéodory function. The present paper is devoted to the existence of at least two distinct nontrivial solutions to quasilinear elliptic problems of Schrödinger type, which provides a concave-convex nature to the problem. The primary tools are the well-known mountain pass theorem and a variant of Ekeland's variational principle.

• Journal of Pharmacopuncture
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• v.17 no.3
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• pp.62-69
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• 2014

Objectives: The purpose of this study is to report a case series of advanced cancer patients whose cancer pain was relieved by using autonomic nerve pharmacopuncture (ANP) treatment. ANP is a subcutaneous injection therapy of mountain ginseng pharmacopuncture (MGP) along the acupoints on the spine (Hua-Tuo-Jia-Ji-Xue; 0.5 cun lateral to the lower border of the spinous processes of vertebrae) to enhance the immune system and to balance autonomic nerve function. Methods: Patients with three different types of cancer (gastric cancer, lung cancer, colon cancer with distant metastases) with cancer pain were treated with ANP. 1 mL of MGP was injected into the bilateral Hua-Tuo-Jia-Ji-Xue on the T1-L5 sites (total 12-20 mL injection) of each patient's dorsum by using the principle of symptom differentiation. During ANP treatment, the visual analogue scale (VAS) for pain was used to assess their levels of cancer pain; also, the dosage and the frequency of analgesic use were measured. Results: The cancer pain levels of all three patients improved with treatment using ANP. The VAS scores of the three patients decreased as the treatment progressed. The dosage and the frequency of analgesics also gradually decreased during the treatment period. Significantly, no related adverse events were found. Conclusion: ANP has shown benefit in controlling cancer pain for the three different types of cancer investigated in this study and in reducing the dosage and the frequency of analgesics. ANP is expected to be beneficial for reducing cancer pain and, thus, to be a promising new treatment for cancer pain.

• Proceedings of the Korean Geotechical Society Conference
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• 2006.03a
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• pp.644-651
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• 2006

In general, a damage that occurs due to landslide or slope failure in urban areas is larger than that in rural areas. In order to reduce the damage, a program is necessary to categorize slopes based on properties and to manage them systematically. Based on the above necessity, a slope management program which is applicable to slope management in an urban area has been developed at Hwangryung mountain in Busan as a target area. The program has a function of systematic slope information constructed by slope ID number of each slope or sub-region of a mountain, making a slope data sheet, analysis and grouping of slope stability, and establishment of a data base. It can also be utilized practically by end users due to the convenient input, edition, printing, management and operation of slope data. For practical utilization of the developed program, a research related to construction of the slope management system for a regional area is demanded to be performed continuously. The supply and utilization of a web based slope management system would contribute to damage reduction.

• Journal of Korean Society of Forest Science
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• v.101 no.3
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• pp.356-364
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• 2012

This study was to estimate the biomass of Mt. Changbai mountain area using the IKONOS imagery and field survey data. Then, we prepared the regression function using the vegetation index derived from the IKONOS and biomass estimated from field measured data of previous studies, respectively. The five vegetation index which used in the regression model was SAVI, NDVI, SR, ARVI, and EVI. As a result, the rank of the R-square from coefficient of correlation was as follow, SAVI(0.84), NDVI(0.73), SR(0.59), ARVI(0.0036), EVI(0.0026). Finally, we estimated the biomass of non-measured area using the Soil Adjusted Vegetation Index (SAVI). This study can be used as reference methodology for the estimation of carbon sinks of primary forest.

• Journal of Korean Society of Forest Science
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• v.76 no.4
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• pp.348-356
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• 1987

A new simple method to estimate the earth quantity which is basic data for making the plan of mountain forest road is tried to develop as one of ways to reduce time cost of plan making. The zero-line surveying method, the concept of 2/3 road width in cut-away part and of same quantity between cut-away and fill-up earth which are the backgrounds to develop this method is introduced and explaned also it's theoritical propriety. Under the precondition which have to apply above concepts for constructing the mountain forest road the exchange table for estimating the earth quantity is made like table 3 and 4 through being calculated by a trigonometric function. Table 3 can be used to estimate the earth quantity on the cut-away road-width according to slope of terrain and different road-width, and table 4 can be applied to calculate the quantity of cut-away earth when to know the road-width of cut-away. When using these tables the performance of field surveying and office work for road plan will be highly increased.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.587-592
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• 2003

Many real world control problems have continuous states and actions. When the state space is continuous, the reinforcement learning problems involve very large state space and suffer from memory and time for learning all individual state-action values. These problems need function approximators that reason action about new state from previously experienced states. We introduce Fuzzy Q-Map that is a function approximators for 1 - step Q-learning and is based on fuzzy clustering. Fuzzy Q-Map groups similar states and chooses an action and refers Q value according to membership degree. The centroid and Q value of winner cluster is updated using membership degree and TD(Temporal Difference) error. We applied Fuzzy Q-Map to the mountain car problem and acquired accelerated learning speed.

• Journal of KIISE:Software and Applications
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• v.30 no.11
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• pp.1054-1061
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• 2003

Q-Learning, a representative algorithm of reinforcement learning, experiences repeatedly until estimation values about all state-action pairs of state space converge and achieve optimal policies. When the state space is high dimensional or continuous, complex reinforcement learning tasks involve very large state space and suffer from storing all individual state values in a single table. We introduce Q-Map that is new function approximation method to get classified policies. As an agent learns on-line, Q-Map groups states of similar situations and adapts to new experiences repeatedly. State-action pairs necessary for fine control are treated in the form of rule. As a result of experiment in maze environment and mountain car problem, we can achieve classified knowledge and extract easily rules from Q-Map

• Journal of Environmental Science International
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• v.12 no.2
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• pp.145-149
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• 2003

This study was carried out to present rural functional resources through classification and preparation of checklist for ecological and cultural resources which considered various aspect of agriculture and rural area. In this study the function of ecological and cultural resources classified 6 functions such as natural environment, free environmentally agricultural products, experience of agricultural products, recreational places, rural life experience, and Interchanges of human resources. Prepared evaluation list through this study can explain a local characteristics based on 6 functions of agricultural and mountain village. This evaluation list was focused on the magnitude of the resources which motivate the visiting of city-dweller as a consumer, for an actual regional plan, investigation of the inhabitant consciousness survey should be needed, simultaneously.