• Journal of Oriental Neuropsychiatry
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• v.28 no.3
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• pp.287-302
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• 2017

Objectives: To evaluate effects of Resina Dendropanacis Morbiferus (RDM) on stress and sleep hormones when administered to Chronic Mild Stressed (CMS) rats. Methods: Twenty-five healthy rats were randomly divided into 5 groups; Normal, CMS (Control), Resina Dendropanacis Mobiferus 50 mg/kg (RDM 50), 100 mg/kg (RDM 100), and 200 mg/kg (RDM 200). All rats except the normal group were exposed to unpredicted stress conditions such as water deprivation, empty bottles, forced thread mill, etc. according to timetable of CMS for 3 weeks. After a week starting experiments, rats in RDM 50, RDM 100, and RDM 200 groups were fed orally once a day for 2 weeks. Afterward, blood samples were taken from rats to analyze complete blood count, AST, ALT, and glucose. Noradrenalin, GABA and Melatonin were measured by ELISA kit. BDNF, CREB and TrkB were measured by RT-PCT. Results: 1. In Noradrenalin content, RDM 100 and RDM 200 groups revealed significant decrease compared to the control group. 2. In GABA content, RDM 50 and RDM 100 groups revealed significant decrease compared to the control group. 3. In Melatonin content, RDM 100 and 200 groups revealed significant decrease compared to the control group. 4. In Activity of BDNF, RDM 100 and 200 groups revealed significant increase compared to the control group. 5. In Activity of CREB and TrkB, RDM 100 group revealed significant increase compared to the control group. 6. In Erythrocyte and Thrombocyte changes, red blood cells and hematocrit significantly increased in RDM 50 and RDM 200 groups than the control group. Hemoglobin and platelet significantly increased in all experimental groups and the control group. 7. In Weight gain content, all RDM groups revealed insignificant increase compared to the control group. 8. In Glucose content, RDM 50, RDM 100, and RDM 200 groups revealed significant decrease compared to the control group. Conclusions: Results suggest that RDM have effects on stress and sleep hormones when administered to Chronic Mild Stressed (CMS) rats.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.411-440
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• 2020

The purpose of this study is to derive the detailed elements of each RDM function that can be applied to the development of research data management system in Geoscience field in Korea. Eight institutions related to RDM services were analyzed to achieve the research purpose. As a result of the analysis, 80 detailed elements of Geoscience RDM function were derived, and a survey was conducted to domestic experts to verify the derived details. As a result, 80 RDM functional details for Geoscience are presented in order of importance. The elements presented can be presented as functional details in the establishment and operation of RDM services in the field of Geoscience in research institutes or university libraries in Korea.

• Membrane Journal
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• v.6 no.4
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• pp.219-226
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• 1996

Rotary disc ultrafiltration module(RDM) was developed for the separation of oil emulsions. This module was devised to reduce the gel polarization phenomenon by alecoupling the operation pressure and the surface velocity of solution in ultrafiltration(UF) processes. Two-shaft engaged disc type RDM having 20 rotary disc membcanes(UOP, USA) was operated under 85kPa vacuum at $25^{\circ}$C. The pressure drop due to slip flow in the two-shaft RDM was found to be proportional to $(2.5{\omega}r)^{2}$. The pure water flux of two-shaft RDM decreased by 9.95% at the angular velocity of 41.89rad/s compared to the decrease of 3.01% for one-shaft RDM at the same velocity. When the angular velocity was changed from 31.42rad/s to 2.62rad/s, the flux decline for 1% cutting oil in two-shaft RDM was 30.16% that is similar to that of one-shaft RDM. Disc gap of 3mm and 7mm did not show any significant differences in the flux for 1% cutting oil solution. A modified model for two-shaft RDM showed good agreement with the experimental results for the cutting oil solution.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.13 no.2
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• pp.106-115
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• 2013

LED lighting control system using unidirectional DMX512 (digital multiplex with 512 pieces of information)) protocol has been the most popular. Nowadays, the user's consumption has been upgrading to the more intelligent system but the upgrading process does not affect the existing infrastructure. There were many researches use the additional communication for the feedback communication way such as WiFi, Controller Area Network (CAN), Power Line Communication (PLC), etc but all researches had inherent disadvantages that created the independent feedback with the existing DMX512 system. Our paper represents the novel method that uses the remote device management (RDM) protocol to associate the additional feedback with existent DMX512 infrastructure in the one system. The data in DMX512 frame sending to the DMX512 client is split and repacked to become the RDM packet. This RDM packet is transferred to the RDM monitor console and the response RDM packet is converted to the DMX512 frame for control DMX512 client devices. This is the closed loop control model which uses the bidirectional convertibility between RDM packet and DMX512 frame. The proposed method not only upgrades the feedback control function for the old DMX512 system without changing the existent infrastructure, but also solves compatible problems between new RDM devices and old DMX512 devices and gives the low cost solution for extending DMX512 universe.

• The Journal of Bigdata
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• v.4 no.2
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• pp.127-139
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• 2019

Research Data Management (RDM) is a system that encompasses people, policies, resources and technologies that provide and support directions in producing, collecting, using, and preserving research data. RDMs consist of a wide range of activities, including supporting the creation of data management plans (DMPs), building data collections and repositories, and digital preservation and distribution. In advanced countries, systems for RDMs and related organizations are well organized and functioning, but in Korea, the management system is insufficient due to low level of data awareness. In this paper, we propose a plan to establish a research data management system suitable for the reality. In particular, it is important to reflect in RDM that the construction of big data platforms for the collection and management of big data in each field and organization is increasing rapidly. Also, we will discuss how to provide data provision and researchers' data sovereignty using blockchain technology, and propose a P2P-based decentralized RDM scheme.

• Journal of Climate Change Research
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• v.4 no.1
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• pp.11-26
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• 2013

This study examined the applicability of robust decision making (RDM) over standard decision making (SDM) by comparing each result of water supply planning under climate change uncertainties for a Korean dam case. RDM determines the rank of alternatives using the regret criterion which derives less fluctuating alternatives under the risk level regardless of scenarios. RDM and SDM methods were applied to assess hypothetic scenarios of water supply planning for the Andong dam and Imha dam basins. After generating various climate change scenarios and six assumed alternatives, the rank of alternatives was estimated by RDM and SDM respectively. As a result, the average difference in the rank of alternatives between RDM and SDM methods is 0.33~1.33 even though the same scenarios and alternatives were used to be ranked by both of RDM and SDM. This study has significance in terms of an attempt to assess a new approach to decision making for responding to climate change uncertainties in Korea. The effectiveness of RDM under more various conditions should be verified in the future.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.12
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• pp.965-970
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• 2016

Fuel used in the steel metallurgy industry is stored in huge stage systems called SILO. Fuel is released by RDM (Rotary Discharge Machine), at the place of utilization. RDM is located in the Silo, and is constituted of a main frame, driving part, discharging part and control part. RDM is combined to a direct motion on the rail in tunnel, having a rotary motion enabled by a motor. In this paper, we calculate the theoretical discharging capacity of RDM to confirm the correlation between design element and discharging capacity of RDM. Also, through structure analysis, we confirm the vulnerable point of RDM when it discharges the storage materials. We hope to apply these results to design a more efficient RDM.

• Journal of Information Processing Systems
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• v.11 no.1
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• pp.125-133
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• 2015

The Remote Device Management (RDM) protocol is used to manage the devices in the lighting control networks. RDM provides bi-directional communications between a controller and many lighting devices over the DMX512-A network. In RDM, using a simple binary search scheme, which is based on the 48-bit unique ID (UID) of each device, discovers the lighting devices. However, the existing binary search scheme tends to require a large delay in the device discovery process. In this paper, we propose a novel partition-based discovery scheme for fast device discovery in RDM. In the proposed scheme, all devices are divided into several partitions as per the device UID, and the controller performs device discovery for each partition by configuring a response timer that each device will use. From numerical simulations, we can see that there is an optimal number of partitions to minimize the device discovery time for a given number of devices in the proposed scheme, and also that the proposed partition-based scheme can reduce the device discovery time, as compared to the existing binary search scheme.

• Proceedings of the Membrane Society of Korea Conference
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• 2002.11a
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• pp.170-173
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• 2002

• Industrial Engineering and Management Systems
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• v.9 no.1
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• pp.41-53
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• 2010

An existing risk diagnosing methodology (RDM) diagnoses corporate risk for product-innovation projects. However, it cannot evaluate and compare the risk levels of multiple alternatives in the product development stage. This paper proposes a modified risk diagnosis method to fill the gap of risk evaluation in selections of innovative product alternatives and the application of the method will be also illustrated by a case problem on alternative selections in electrical dimmer designs. With RDM as the foundation, a modified RDM (MRDM) is proposed to deal with the problem of selecting innovative project alternatives during the early stages of product development. The Bayesian network; a probabilistic graphical model, is adopted to support the risk pre-assessment stage in the MRDM. The MRDM is proposed by incorporating the risk pre-assessment stage into the foundation. By evaluating the engineering design risks in two electrical dimmer switches, an application of the MRDM in product innovation development is successfully exemplified. This paper strengthens the existing methodology for RDM in innovative product development projects to accommodate innovative alternatives. It is advantageous for companies to identify and measure the risks associated in product development so as to plan for appropriate risk mitigation strategies.