• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.6
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• pp.1097-1102
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• 2011

This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources. Specially assuming that ignore the loss in power system, they take a role as generation. This paper proposes how to evaluate demand resources' values. Case study shows that demand response operators schedule efficiently demand response program by using index of such as the registration information the participation information of demand resource.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.129-133
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• 2019

Frequency resource efficiency is important in satellite communication systems. One of the causes of a waste of frequency resource is bad flatness. In the case, flatness of satellite Tx terminals would be worse by ACI and guard band. In order to overcome this problem, this paper proposes a technique for frequency response equalization in satellite Tx terminals. First of all, a general linear polynomial expression which meets least squares of representative measurement data is calculated to interpolate unmeasured data. And then flatness can be adjusted using the polynomial expression. Simulation results illustrate adjusted data have lower peak to peak and standard deviation than original data, and these show that flatness be improved.

• International Journal of Naval Architecture and Ocean Engineering
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• v.13 no.1
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• pp.650-658
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• 2021

Flexible risers are usually used as conveying systems to bring ocean resources from sea bed up to onshore. Under ocean environments, risers need to bear complex loads and it is crucial to comprehensively examine riser's configurations and to analyze structural dynamic performances under excitation of bottom vehicle motions, to guarantee structural safe operation and required service lives. In this study, considering a saddle-shaped riser, the influences of some important design parameters, including installation position of buoyancy modules, buoyancy ratio and motion of mining vehicle, on riser's configuration and response are carefully examined. Through our FEM simulations, the spatial distributions of structural tensions and curvatures along of riser length, under different configurations, are compared. Then, the impacts of mining vehicle motion on riser dynamic response are discussed, and structural tolerance performance is assessed. The results show that modules installation position and buoyancy ratio have significant impacts on riser configurations. And, an appropriate riser configuration is obtained through comprehensive analysis on the modules positions and buoyancy ratios. Under this proposed configuration, the structural tension and curvature could moderately change with buoyancy modules and bottom-end conditions, in other words, the proposed saddle-shaped riser has a good tolerance performance to various load excitations.

• Korean Journal of Medicinal Crop Science
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• v.26 no.1
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• pp.72-81
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• 2018

Background: Polysaccharides are the most important functional constituent in Astragalus membranaceus. The purpose of the present study was to evaluate the effect of polysaccharides isolated from the aboveground parts of A. membranaceus (AMA) and polysaccharides isolated from the roots of A. membranaceus (AMR) immune function by modulated cytotoxic T cell and Th1- and Th2-related cytokines kinetics. Methods and Results: Sprague-Dawley rats were randomly divided into exhaustive exercise case groups and non-exercise case, AMA and AMR samples were administered orally for 30 days (500 mg/kg/day and 10 mg/kg/day, respectively) and were compared to those rats in the groups fed commercial sports drink (SPD) and vehicle. Both exhaustive exercise groups and non-exercise groups had a lower ratio of $CD4^+$ and $CD8^+$ cells in the spleens of the rat fed AMA and AMR compared to those in the rats fed SPD and vehicle group. These results suggested that AMA and AMR promote an increase in the proportion of cytotoxic T cells. The IL-4-producing T lymphocytes decreased significantly in the AMR (10 mg/kg/day) group compared to SPD and vehicle, whereas the AMA group increased the IL-4 concentration more than the SPD and vehicle in exhaustive exercise group. However, the populations of IFN-${\gamma}$-producing T lymphocytes of AMR and AMA increased. AMA decreased the concentration of IFN-${\gamma}$ to inhibit the Th1 response and thereby increased the concentration of IL-4 to induce a Th2 response that was related to humoral immunity in the non-exercise group. Conclusions: These results showed that, in addition to Th1/Th2 regulation, AMR and AMA played an important immuno-modulatory role after exhaustive exercise-induced Th1/Th2 lymphocyte imbalance, which might be correlated with cytokine producing immunoregulatory cells.

• Environmental and Resource Economics Review
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• v.12 no.3
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• pp.487-513
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• 2003

Currently, development of environmental index has been an increasingly important issue to achieve sustainable development, providing critical information to policy-makers. In particular, marine environmental composite index for Korea is widely required to establish. This paper constructs a marine environmental composite index using the OECD pressure-state-response (PSR) framework and employing multi-attribute utility theory (MAUT). The PSR framework links human activities as a pressure to environmental state and policy response. Weights are calculated by the MAUT technique. The paper provides annual pressure, state, response indices, and state index by sea area from 1991 to 2001 in Korea. The implications of the results and application plan of the index are also discussed.

• Asian-Australasian Journal of Animal Sciences
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• v.27 no.10
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• pp.1387-1393
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• 2014

This study aimed to estimate genetic correlation between carcass grading and retail productivity traits and to estimate the correlated response on retail productivity traits through selection for carcass grading traits in order to assess the efficacy of indirect selection. Genetic parameters were estimated with the data from 4240 Hanwoo steers using mixed models, and phenotypes included carcass weight (CWT), back fat thickness (BFT), eye muscle area (EMA), marbling (MAR), and estimated lean yield percentage (ELP) as the carcass grading traits, and weight and portion of retail cuts (RCW and RCP), trimmed fats (TFW and TFP) and trimmed bones (TBW and TBP) as the lean productivity traits. The CWT had positive genetic correlations with RCW (0.95) and TFW (0.73), but its genetic correlation with RCP was negligible (0.02). The BFT was negatively correlated with RCP (-0.63), but positively correlated with TFW and TFP (0.77 and 0.70). Genetic correlations of MAR with TFW and TFP were low. Among the carcass grading traits, only EMA was positively correlated with both RCW (0.60) and RCP (0.72). The EMA had a relatively strong negative genetic correlation with TFW (-0.64). The genetic correlation coefficients of ELP with RCP, TFW, and TFP were 0.76, -0.90, and -0.82, respectively. These correlation coefficients suggested that the ELP and EMA might be favorable traits in regulating lean productivity of carcass.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.5
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• pp.1567-1587
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• 2014

Virtual Machine (VM) resource management is crucial to satisfy the Quality of Service (QoS) demands of various multimedia services in a media cloud platform. To this end, this paper presents a VM resource allocation model that dynamically and optimally utilizes VM resources to satisfy QoS requirements of media-rich cloud services or applications. It additionally maintains high system utilization by avoiding the over-provisioning of VM resources to services or applications. The objective is to 1) minimize the number of physical machines for cost reduction and energy saving; 2) control the processing delay of media services to improve response time; and 3) achieve load balancing or overall utilization of physical resources. The proposed VM allocation is mapped into the multidimensional bin-packing problem, which is NP-complete. To solve this problem, we have designed a Mixed Integer Linear Programming (MILP) model, as well as heuristics for quantitatively optimizing the VM allocation. The simulation results show that our scheme outperforms the existing VM allocation schemes in a media cloud environment, in terms of cost reduction, response time reduction and QoS guarantee.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2023.04a
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• pp.52-52
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• 2023

Ageing has been known to be deeply related to oxidative activities. Furthermore, inflammation is a response initiated by conditions such as infection and injury. It has been known that complex connections occur between oxidative stress and the inflammatory response, however underlying mechanism needs to be investigated. Chinese resource plants have been widely used as functional food and medicine for a long time, however it is not studied well how many of these resource plants work. We first decided testing anti-oxidant and anti-inflammatory activities with 95% ethanol extracts of the chinese resource plants, Boehmeria pilosinscula (Blume) Hassk., Carlemannia tetragona Hook f. and Clausena emarginata C.C.Huang. To measure anti-oxidant activity, we performed DPPH assay in Raw264.7 cells with 95% ethanol extracts. Clausena extracts showed significantly higher anti-oxidant activity than those of Boehmeria and Carlemannia. We then performed Nitric Oxide assay to measure the inflammation suppression levels with 95% ethanol extracts of these plants. Clausena extracts showed significantly higher suppression of nitric oxide production than those of Boehmeria and Carlemannia. This indicates that inflammation levels are significantly reduced by Clausena. After measuring anti-oxidant and anti-inflammatory activities, we then performed MTT assay to measure the cell survival rate of Raw264.7 cells treated with these extracts. Boehmeria showed much more cell survival rate than Carlemannia and Clausena. Taken together, this result suggests that Clausena extracts have more anti-oxidant and antiinflammatory activities than Boehmeria and Carlemannia, while Boehmeria extracts have more cell survival rate than Carlemannia and Clausena.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.79-88
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• 2021

In this paper, we propose a API Gateway technique for the expansion of human resource management module, one of the ERP functions. The institution has introduced ERP (Enterprise Resource Planning) based on its efforts to transform all human and physical resources into business competitiveness and its response to the digital knowledge informatization environment, and listed it as multiple success factors. Human resource management is one of the factors that have been dealt with. However, ERP's Human Resources Management Module remains in the role of functional personnel management. How to utilize human resources begins with navigating and recognizing human resources. The proposed API Gateway technique leverages blockchain networks to design and implement APIs for human resource sharing and navigation, including the possibility of extending ERP's human resource management module. Secondly, it was designed and implemented using a smart contract that behaves like an API for preventing information forgery. The proposed method will not only be used as a tool that can actively utilize human resources, but will also be a complete resource for utilizing big data technology.

• Convergence Security Journal
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• v.23 no.5
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• pp.81-89
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• 2023

Kubernetes is a representative open-source software for container orchestration, playing a crucial role in monitoring and managing resources allocated to containers. As container environments become prevalent, security threats targeting containers continue to rise, with resource exhaustion attacks being a prominent example. These attacks involve distributing malicious crypto-mining software in containerized form to hijack computing resources, thereby affecting the operation of the host and other containers that share resources. Previous research has focused on detecting resource depletion attacks, so technology to respond when attacks occur is lacking. This paper proposes a reinforcement learning-based dynamic resource management framework for detecting and responding to resource exhaustion attacks and malicious containers running in Kubernetes environments. To achieve this, we define the environment's state, actions, and rewards from the perspective of responding to resource exhaustion attacks using reinforcement learning. It is expected that the proposed methodology will contribute to establishing a robust defense against resource exhaustion attacks in container environments