• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.1
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• pp.30-39
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• 2004

This research is of the rapid industrialization taking place resulting in the destruction of forests. The method that is implemented needs the vegetation to work well with the topsoil in order to restore the environment. In November the researcher collected a depth of 5 cm of topsoil from a well developed forest, after the fallen leaves were cleared. The results of the essential research are as follows : In the case of using the forest topsoil to plant trees latency seeds, during the early stages of tree planting, time is necessary for the desired vegetation to reach a similar state to the vegetation being restored. The results conclude that the best possible affect is obtained through a method utilizing seeded species. Utilizing forest topsoil, slopes that have been too damaged for trees to be planted can be sown with seeds. In addition the rearing of naturally-emerging species had a tendency to decline. When considering rearing naturally-emerging species to flourish in the topsoil, in the early stages of tree planting, the beginning foundation of sowing seeded species has to have a standard of about 1,000parts/$m^2$ This standard has been found to the most successful.

• Journal of the Korea Society of Computer and Information
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• v.23 no.12
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• pp.73-80
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• 2018

Certification revocation list(CRL) is needed for excluding compromised, faulty, illegitimate vehicle nodes and preventing the use of compromised cryptographic materials in vehicular communications. It should be distributed to vehicles resource-efficiently and CRL computational load of vehicles should not impact on life-critical applications with delay sensitive nature such as the pre-crash sensing that affords under 50msec latency. However, in the existing scheme, when a vehicle receives CRL, the vehicle calculates linkage values from linkage seeds, which results in heavy computational load. This paper proposes, a new CRL distribution scheme is proposed, which minimizes the time for CRL processing of vehicles. In the proposed scheme, the linkage value calculation procedure is performed by road-side unit(RSU) instead of the vehicle, and then the extracted linkage values are relayed to the vehicle transparently. The simulation results show that the proposed scheme reduces the CRL computational load dramatically, which would minimize impact on life-critical applications' operations with low latency.

• Research in Community and Public Health Nursing
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• v.31 no.4
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• pp.447-458
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• 2020

Purpose: The purpose of this study was to identify the effects of auricular acupressure therapy on sleep disorder and fatigue in menopausal women. Methods: The study design was a non-equivalent control group pretest-posttest design. The participants were 40~60 years old women, assigned to the experimental group (n=25) or the control group (n=27). Auricular acupressure using vaccaria seeds was administered to the experimental group. The sessions continued for 6 weeks. Outcome measures included Pittsburgh sleep quality index, sleep meter, sleep diary, fatigue assessment instrument, serum cortisol, and serum serotonin. Results: Menopausal women in the experimental group showed significant increases in deep sleep, light sleep, serotonin level and sleep duration compared with the control group. Also, the experimental group reported decreases in PSQI, sleep latency, awakening time, fatigue and cortisol level compared with the control group. Conclusion: Results show that auricular acupressure using vaccaria seeds is considered as an effective treatment for sleep disorder and fatigue in menopausal women. We conclude that it can be used as a nursing intervention method proven to reduce sleep disorder and fatigue in menopausal women.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.4
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• pp.110-119
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• 2004

This research was conducted to develop spraying cultivation method using forest topsoils in order to restore the disturbed slopes. In November the researcher collected a depth of 5 cm of topsoils from a well developed forest, after the fallen leaves were cleared. The essential results of the research are as follows: In the case of using the forest topsoils, during the early stages of planting, time is necessary for the desired vegetation to reach a similar state to the vegetation being restored. The best possible effect is obtained through a method utilizing forest topsoil(30%)+loam silt soil(70%)+seeding with grasses and native plants including trees, shrubs, and herbs. Several plants such as Pinus densiftora, Potentilla fragarioides, Miscanthus sinensis, Erigeron canadensis seemed to be naturally emerged from the topsoils From this experiment, it was recommended that environment potential within topsoil should be comprehended. Also, topsoil deposit and gathering methods should be experimented properly.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.9-15
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• 2021

With the recent development of 5G and artificial intelligence technologies, it is interested in AIOT technology to collect, process, and analyze information in cloud edge environments. AIIoT technology is being applied to various smart environments, but research is needed to perform fast response processing through accurate analysis of collected information. In this paper, we propose a technique to minimize bandwidth and processing time by blocking the connection processing between AIOT information through fast processing and accurate analysis/forecasting of information collected in the smart environment. The proposed technique generates seeds for data indexes on AIOT devices by multipointing information collected by blockchain, and blocks them along with collection information to deliver them to the data center. At this time, we deploy Deep Neural Network (DNN) models between cloud and AIOT devices to reduce network overhead. Furthermore, server/data centers have improved the accuracy of inaccurate AIIoT information through the analysis and predicted results delivered to minimize latency. Furthermore, the proposed technique minimizes data latency by allowing it to be partitioned into a layered multilayer network because it groups it into blockchain by applying weights to AIOT information.