• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.93-100
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• 2021

Forward osmosis (FO) process is a chemical potential driven process, where highly concentrated draw solution (DS) is used to take water through semi-permeable membrane from feed solution (FS) with lower concentration. Recently, commercial FO membrane modules have been developed so that full-scale FO process can be applied to seawater desalination or water reuse. In order to design a real-scale FO plant, the performance prediction of FO membrane modules installed in the plant is essential. Especially, the flux prediction is the most important task because the amount of diluted draw solution and concentrate solution flowing out of FO modules can be expected from the flux. Through a previous study, a theoretical based FO module model to predict flux was developed. However it needs an intensive numerical calculation work and a fitting process to reflect a complex module geometry. The idea of this work is to introduce deep learning to predict flux of FO membrane modules using 116 experimental data set, which include six input variables (flow rate, pressure, and ion concentration of DS and FS) and one output variable (flux). The procedure of optimizing a deep learning model to minimize prediction error and overfitting problem was developed and tested. The optimized deep learning model (error of 3.87%) was found to predict flux better than the theoretical based FO module model (error of 10.13%) in the data set which were not used in machine learning.

• Journal of Korean Society of Forest Science
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• v.100 no.1
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• pp.1-7
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• 2011

The objective of this study was to improve the performance of the existing individual-tree/distantindependent stand growth model in predicting the growth of Pinus koraiensis forest stands. The parameters of diameter growth and mortality prediction models were estimated using periodic annual increment (PAI) of permanent plots and the performance of the models were compared with that of the existing ones using mean anuual increment (MAI). The diameter growth model includes crown ratio, potential diameter growth and modifier to compute for competitions of trees of a stand. In deriving the mortality prediction model, the parameters were estimated based on PAI which was also estimated as the function of MAI due to the lacking of permanent plot data. The results of this study showed that the newly-estimated functions based on PAI provide more realistic patterns in diameter growth of individual trees. The new approach using PAI in mortality model seems to overcome the over-estimate problem by the MAI-based model in estimating mortality of stand trees.

• English & American cultural studies
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• v.14 no.1
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• pp.73-94
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• 2014

Accounts from therapeutic culture seem often to associate the selfish, or at least self-centered quest for self-fulfillment with individual choice or satisfaction, self-expression, expressive individualism, and emotionalism. These associations point to the downside of therapy as they present it as constituting a culture of narcissism, selfishness, or irresponsibility. While some of these characterizations contain useful insights, they overlook what are maybe some of the most important features of a therapeutic outlook. This paper aims to reveal that the therapeutic imperative is not so much geared towards the realization of self-fulfillment, as it is the promotion of self-limitation. Therapeutic culture tends to posit the self in a fragile and feeble form and insist that the management of life requires the continuous intervention of therapeutic expertise. Because of this, the elevated concern with the self is underpinned by anxiety, pain, suffering, and survival, rather than seen as a positive vision of realizing the human potential. Therapeutic culture has in this way helped to construct a diminished sense of self by which one is seen as suffering from an emotional deficit and vulnerability. This paper demonstrates this downside of therapeutic culture concerning self-limitation and the sense of a diminished self by examining popular "misery memoirs." Misery memoirs are widely consumed by the general public, therefore tend to be treated by contemporary therapeutic culture as a gospel on the therapeutic ideal for self-fulfillment and self-discovery. This is, despite the existence of hidden evidence to the contrary, because of their redemptive, happy endings that show individuals overcoming difficult trials such as child abuse, incestuous rape, and domestic violence. Individual self-fulfillment and self-discovery in such stories are not achieved through the active agency of the subject but through the passive endurance of pathological symptoms and with the aid of expertise and outside support. Therefore, such stories put victims in the limited position.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.264-284
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• 2021

As the next-generation network architecture, software-defined networking (SDN) has great potential. But how to forward data packets safely is a big challenge today. In SDN, packets are transferred according to flow rules which are made and delivered by the controller. Once flow rules are modified, the packets might be redirected or dropped. According to related research, we believe that the key to forward data flows safely is keeping the consistency of flow rules. However, existing solutions place little emphasis on the safety of flow rules. After summarizing the shortcomings of the existing solutions, we propose FRChain to ensure the security of SDN data forwarding. FRChain is a novel scheme that uses blockchain to secure flow rules in SDN and to detect compromised nodes in the network when the proportion of malicious nodes is less than one-third. The scheme places the flow strategies into blockchain in form of transactions. Once an unmatched flow rule is detected, the system will issue the problem by initiating a vote and possible attacks will be deduced based on the results. To simulate the scheme, we utilize BigchainDB, which has good performance in data processing, to handle transactions. The experimental results show that the scheme is feasible, and the additional overhead for network performance and system performance is less than similar solutions. Overall, FRChain can detect suspicious behaviors and deduce malicious nodes to keep the consistency of flow rules in SDN.

• Journal of Oriental Neuropsychiatry
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• v.32 no.1
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• pp.25-37
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• 2021

Objectives: Depression is a mood disorder showing low energy, loss of interest, anhedonia, and anxiety. It affects a patients' daily life. This disease is considered a social problem because the patient may commit suicide in extreme cases. JSB is composed of 12 Korean medicinal herbs. It has been prescribed to patients with depression. The objective of this study is to investigate anti-depressive effects of JSB on restraint stress-induced depression in a mouse model. Methods: Depression was induced by restraint stress. Mice were orally administered JSB at 10, 20, or 40 mg/kg for 14 days. Forced swimming test (FST) and open field test (OFT) were performed. Brain-derived neurotrophic factor (BDNF) mRNA level was measured by real time-PCR. Plasma levels of corticosterone and serotonin were measured by ELISA. Blood levels of AST and ALS were measured using a biochemical analyzer. Results: JSB treatment significantly reduced the immobility time in FST. BDNF mRNA level was increased by JSB treatment in the hippocampi of mice. Although the expression of TNF-α was also increased by JSB, such increase was not statistically significant. The increase of corticosterone level in plasma induced by restraint stress was significantly down-regulated by JSB. JSB reduced blood level of AST, but not ALT. Conclusions: JSB has a potential to manage depression, setting a foundation for clinical application of Korean medicine with safety.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.546-552
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• 2020

The remote control system, in which the remote control server and the actuator are connected and operated through a wireless network, has a great potential risk as well as its convenience. The control commands can be lost because of unreliable wireless channels. The intelligent remote control system is a system that adds a function to infer a control command to the actuator to operate even if the control command is not received. In this paper, we implemented an intelligent remote control system testbed and confirmed the problems that could occur in the remote control system through experiments and verified that the intelligent remote control system solves the problem. The intelligent remote control system can achieve the performance that can be achieved when general remote control system has high communication overhead with less communication overhead.

• Earthquakes and Structures
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• v.20 no.3
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• pp.295-307
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• 2021

The gap provided between adjacent structures in the metropolitan cities is mostly narrow due to architectural and financial issues. Consequently, structural pounding occurs between adjacent structures during earthquakes. It causes damages, ranging from minor local to more severe ones, especially in the case of seismically isolated buildings, due to their higher displacements. However, due to the increased flexibility of isolated buildings, the problem could become more detrimental to such structures. The effect of the seismic pounding of moat walls on the response of buildings isolated by Triple Friction Pendulum Bearing (TFPB) is investigated in this paper. To this propose, two symmetric three-dimensional models, including single-story and five-story buildings, are modeled in Opensees. Nonlinear Time History Analyses (NTHA) are performed for seismic evaluation. Also, five different sizes with four different sets of friction coefficients are considered for base isolators to cover a whole range of base isolation systems with various geometry configurations and fundamental period. The results are investigated in terms of base shear, buildings' drift, and roof acceleration. Results indicated a profound effect of poundings against moat walls. In situations of potential pounding, in some cases, the influence of impact on seismic responses of multistory buildings was more remarkable.

• Korean Journal of Plant Resources
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• v.34 no.1
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• pp.52-58
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• 2021

Homogenization of quality was important in order to use herbal medicines as pharmaceuticals. To solve this problem, it was important to establish quality standards. Atractylodis Rhizoma Alba has no quantitative method in the Korean Pharmacopoeia. Thus, we have researched to improve the quality evaluation method of Atractylodis Rhizoma Alba with an HPLC. Atractylenolide III and atracylodin were selected as potential marker compounds. This analytical procedure was subject to validation. According to validation guideline of South Korea's Ministry of Food and Drugs Safety, the specificity, linearity, precision, range, quantitative limits, detection limits and accuracy were measured. Because the specificity, linearity, precision, range, quantitative limits, detection limits and accuracy meet criteria of the guideline, the analytic method was validated. With this analysis, Atractylodis Rhizoma Alba and Atractylodis Rhizoma analyzed. As a result, both atractylenolide III and atracylodin appear to be suitable standard compounds. it confirmed that tractylodes Rhizome, similar to Atractylodes Rhizome Alba, could be distinguished.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.64-69
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• 2022

Commercialization of public technology is the transfer of government-led scientific and technological innovation and R&D results to the private sector, and is recognized as a key achievement driving economic growth. Therefore, in order to activate technology transfer, various machine learning methods are being studied to identify success factors or to match public technology with high commercialization potential and demanding companies. However, public technology commercialization data is in the form of a table and has a problem that machine learning performance is not high because it is in an imbalanced state with a large difference in success-failure ratio. In this paper, we present a method of utilizing CTGAN to resolve imbalances in public technology data in tabular form. In addition, to verify the effectiveness of the proposed method, a comparative experiment with SMOTE, a statistical approach, was performed using actual public technology commercialization data. In many experimental cases, it was confirmed that CTGAN reliably predicts public technology commercialization success cases.

• Korean Journal of Food Science and Technology
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• v.54 no.2
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• pp.241-246
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• 2022

Antibiotic resistance is a serious problem to food safety as well as human healthcare. To avoid this, there are several approaches for a new class of antibiotic agents that target only production of virulence factors such as biofilm without bacterial growth defect. The objective of this study was to investigate the antibiofilm activity of tuberostemonine in Staphylococcus aureus. Tuberostemonine significantly reduced the biofilm formation (26.07-47.02%) in the crystal violet assay whereas there were no effect on S. aureus growth. The dispersion in preformed biofilm was also observed by confocal laser scanning microscopy (CLSM). Quantification real-time PCR revealed that the icaA and agrA expression having an important role in biofilm production of S. aureus were strongly affected with tuberostemonine. These results suggest that tuberostemonine has potential for controlling biofilm formation and dispersion by effect on virulence regulation of S. aureus.