• 한국산업융합학회 논문집
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• 제3권2호
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• pp.123-130
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• 2000

Fuzzy control is proposed to regulate cutting force in turning operations under varying cutting conditions. The traditional linear controllers based on crisp mathematical model cannot effectively control cutting force becasue of the nonlinear dynamics of turning operations. The proposed fuzzy controller is based on operator experience and expert knowledge. The membership functions for the inputs and the output of the controller are designed. Cutting force is regulated by adjusting feedrate according to the variation of cutting conditions. The performance of the proposed controller is evaluated by experiments. The results of experiments show that the proposed fuzzy controller has a good cutting force regulation over a wide range of cutting conditions.

• 혜화의학회지
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• 제20권1호
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• pp.175-182
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• 2011

This study aims to summarize and make a reference of Sagunjatang and Samultang by investigating and comparing the effects of prescriptions. In this process, this review surveyed all papers used Sagunjatang and Samultang in PubMed database and finally 36 papers were included. The publication year, the nations of authors, the type of materials, the formation of experiments, the type of herbal medicine, and their action and mechanisms were analyzed. The number of studies on Sagjunjatang and Samultang has increased since 1990's. The main formation of experiments was in vivo study and the portion was 55%. The proportion of the research using prescriptions was 71%. Sagunjatang was investigated in the field of GI track function, anticancer effect, radioprotective effect and etc. Samultang was studied in the field of anticancer effect, brain cognitive function, anti-inflammatory effect, cell protective effect, and etc. Based on these results, Sagunjatang and Samultang showed the different bioactivities. This study will provide the useful information on differentiation and analysis of the effect of herbal prescriptions by the theory of Korean traditional medicine.

• 혜화의학회지
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• 제22권1호
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• pp.37-48
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• 2013

This study aims to summarize and makes a reference of anti-inflammatory activities of herbal medicines. In this process, this review collated papers of anti-inflammation-focused studies using herbal medicines in Oriental medical journals since 2003. Finally 221 papers were included and the type of materials, the type and effective classification of herbal medicines, the type of cells used in the experiments and the action and mechanisms of herbal medicine were analysed. The herbal medicines having the effects of decreasing fire and tonifying and nourishment were used the most. Most herbal medicines in this study can decrease proinflammatory cytokines, NO and prostaglandin 2 (PGE 2) production, inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) expression by regulating of nuclear factor kappa B (NF-${\kappa}B$) and/or mitogen activated protein kinases (MAPKs).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권4호
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• pp.2196-2218
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• 2017

Multicast communication has been widely used in the Internet. However, multicast communication is vulnerable to DoS attack due to static router configuration. In this paper, HMC, a hopping multicast communication method based on SDN, is proposed to tackle this problem. HMC changes the multicast tree periodically and makes it difficult for the attackers to launch an accurate attack. It also decreases the probability of multicast communication being attacked by DoS and in the meanwhile, the QoS constrains are not violated. In this research, the routing problem of HMC is proven to be NP-complete and a heuristic algorithm is proposed to solve it. Experiments show that HMC has the ability to resist DoS attack on multicast route effectively. Theoretically, the multicast compromised probability can drop more than 0.6 when HMC is adopt. In addition, experiments demonstrate that HMC achieves shorter average multicast delay and better robustness compared with traditional method, and more importantly, it better defends DoS attack.

• International Journal of Ocean Engineering and Technology Speciallssue:Selected Papers
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• 제4권1호
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• pp.22-30
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• 2001

A new concept wave absorber is proposed. It is a net type wave absorber. Its efficiency was reported in another publication. Since it is based on new concept, the traditional wave absorber theory is not applicable. It is modeled by introducing damping terms in linearized free surface boundary conditions in this study. The length and the thickness of the wave absorber are modeled by the length and the coefficient of the damping terms. Series of experiments are carried out to get the data for the coefficients of the damping term. The boundary element method is adopted to solve the system. The predicted wave heights show excellent agreement with those of experiments when the lengths of the incoming waves are within the length of the wave absorber.

• Journal of Electrochemical Science and Technology
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• 제9권2호
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• pp.99-108
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• 2018

Proton exchange membrane (PEM) water electrolysis systems offer several advantages over traditional technologies including higher energy efficiency, higher production rates, and more compact design. In this study, all the experiments were performed with a self-designed PEM electrolyser operated at 1 atm and $25^{\circ}C$. Two types of electrolyte were used: (i) potassium hydroxide (KOH), and (ii) sulfuric acid ($H_2SO_4$). In the experiments, the voltage, current, and time were measured. The concentration of the electrolyte significantly affected the electrolyser performance. Overall the best case was with 15 wt% $H_2SO_4$ at the anode channel and 20 wt% at the cathode channel with. In addition, increasing the difference in concentration of the sulfuric acid had an effect on the diffusion. The diffusion flux became larger when the difference in concentration became larger, increasing electrolyser efficiency without the addition of extra energy.

• ETRI Journal
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• 제33권6호
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• pp.914-923
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• 2011

This paper concerns robust and reliable speaker model training for text-independent speaker verification. The baseline speaker modeling approach is the Gaussian mixture model (GMM). In text-independent speaker verification, the amount of speech data may be different for speakers. However, we still wish the modeling approach to perform equally well for all speakers. Besides, the modeling technique must be least vulnerable against unseen data. A traditional approach for GMM training is expectation maximization (EM) method, which is known for its overfitting problem and its weakness in handling insufficient training data. To tackle these problems, variational approximation is proposed. Variational approaches are known to be robust against overtraining and data insufficiency. We evaluated the proposed approach on two different databases, namely KING and TFarsdat. The experiments show that the proposed approach improves the performance on TFarsdat and KING databases by 0.56% and 4.81%, respectively. Also, the experiments show that the variationally optimized GMM is more robust against noise and the verification error rate in noisy environments for TFarsdat dataset decreases by 1.52%.

• 한국식품영양학회지
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• 제27권1호
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• pp.99-104
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• 2014

Platycodon grandiflorum have been used as a traditional remedy and food source. This study was performed to investigate the immunomodulating effects of Platycodon grandiflorum in mouse, using ex vivo experiments. Six to seven-week old mice were fed ad libitum on a chow diet, and water extract of Platycodon grandiflorum was orally administrated at two different concentractions (50 and 500 mg/kg B.W./day) every other day for four weeks. In ex vivo experiments, the highest proliferation of splenocytes and levels of cytokine (IL-$1{\beta}$, IL-6, TNF-${\alpha}$) production were observed in 500 mg/kg BW/day supplementation group for all three cytokines stimulated by LPS. In conclusion, this study suggests that Platycodon grandiflorum extracts may enhance the immune function by regulating the splenocytes proliferation and cytokine production capacity by activating macrophages in mice.

• 반도체디스플레이기술학회지
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• 제18권2호
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• pp.17-22
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• 2019

The method of electrical discharge machining (EDM), one of the processing methods based on non-traditional manufacturing procedures, is gaining increased popularity, since it does not require cutting tools and allows machining involving hard, brittle, thin and complex geometry. This present investigation details the determination of optimum process parameter to attain the better machining performance in EDM of AISI 4340 steel with graphite as a tool electrode. The experimental combinations are planned and analyzed by Taguchi's design of experiments approach. To predict the optimal condition, the experiments are conducted by using Taguchi's L27 orthogonal array. The influence of process variables such as discharge current, pulse on and pulse off time, voltage and spark speed were investigated to control the various desired performance measures such as surface roughness. Analysis of Variance (ANOVA) has to be performed to know the magnitude of each factor. Investigations indicate that the surface roughness is strongly depend on pulsed current.

• ETRI Journal
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• 제43권3호
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• pp.549-560
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• 2021

Cyberattacks are often difficult to identify with traditional signature-based detection, because attackers continually find ways to bypass the detection methods. Therefore, researchers have introduced artificial intelligence (AI) technology for cybersecurity analysis to detect malicious PowerShell scripts. In this paper, we propose a feature optimization technique for AI-based approaches to enhance the accuracy of malicious PowerShell script detection. We statically analyze the PowerShell script and preprocess it with a method based on the tokens and abstract syntax tree (AST) for feature selection. Here, tokens and AST represent the vocabulary and structure of the PowerShell script, respectively. Performance evaluations with optimized features yield detection rates of 98% in both machine learning (ML) and deep learning (DL) experiments. Among them, the ML model with the 3-gram of selected five tokens and the DL model with experiments based on the AST 3-gram deliver the best performance.