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RISS 인기검색어
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- 저자 : T . W . Shon ) (검색결과 4,381 건)
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이성호,김광락,안도희,유재형,백승우,손종식,임성팔,정홍석 한국공업화학회 2001 응용화학 Vol.5 No.2
Hydrogen absorption experiments were carried out by the titanium(Ti) sponge for investigating the characteristics of hydrogen absorption. From experimental results, Ti sponges showed the high hydrogen absorption capacity inspite of low reaction temperature. The H/M which mean the capacity of hydrogen absorption was measured 2.0 for Ti sponge in the experimental condition of 25℃. The effects of the reaction temperature, activation conditions, and the presence of helium in the hydrogen were investigated.
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A hybrid machine learning approach to network anomaly detection
Shon, T.,Moon, J. Elsevier science 2007 Information sciences Vol.177 No.18
Zero-day cyber attacks such as worms and spy-ware are becoming increasingly widespread and dangerous. The existing signature-based intrusion detection mechanisms are often not sufficient in detecting these types of attacks. As a result, anomaly intrusion detection methods have been developed to cope with such attacks. Among the variety of anomaly detection approaches, the Support Vector Machine (SVM) is known to be one of the best machine learning algorithms to classify abnormal behaviors. The soft-margin SVM is one of the well-known basic SVM methods using supervised learning. However, it is not appropriate to use the soft-margin SVM method for detecting novel attacks in Internet traffic since it requires pre-acquired learning information for supervised learning procedure. Such pre-acquired learning information is divided into normal and attack traffic with labels separately. Furthermore, we apply the one-class SVM approach using unsupervised learning for detecting anomalies. This means one-class SVM does not require the labeled information. However, there is downside to using one-class SVM: it is difficult to use the one-class SVM in the real world, due to its high false positive rate. In this paper, we propose a new SVM approach, named Enhanced SVM, which combines these two methods in order to provide unsupervised learning and low false alarm capability, similar to that of a supervised SVM approach. We use the following additional techniques to improve the performance of the proposed approach (referred to as Anomaly Detector using Enhanced SVM): First, we create a profile of normal packets using Self-Organized Feature Map (SOFM), for SVM learning without pre-existing knowledge. Second, we use a packet filtering scheme based on Passive TCP/IP Fingerprinting (PTF), in order to reject incomplete network traffic that either violates the TCP/IP standard or generation policy inside of well-known platforms. Third, a feature selection technique using a Genetic Algorithm (GA) is used for extracting optimized information from raw internet packets. Fourth, we use the flow of packets based on temporal relationships during data preprocessing, for considering the temporal relationships among the inputs used in SVM learning. Lastly, we demonstrate the effectiveness of the Enhanced SVM approach using the above-mentioned techniques, such as SOFM, PTF, and GA on MIT Lincoln Lab datasets, and a live dataset captured from a real network. The experimental results are verified by m-fold cross validation, and the proposed approach is compared with real world Network Intrusion Detection Systems (NIDS).
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Evaluation of Methyl lodide ($CH_3I$) Flux Based on Airborne field Observations
Shon, Zang-Ho Korean Society for Atmospheric Environment 2004 한국대기환경학회지 Vol.20 No.E2
A total of 10 boundary layer sampling events over the Pacific Ocean were analyzed for the purpose of defining the sea-to-air $CH_3$I flux using a mass balance photochemical model. These events were recorded on the National Center for Atmospheric Research (NCAR) C-130 aircraft as part of the Aerosol Charac-terization Experiment (ACE 1). The latitude range, covered by these events, was 2$^{\circ}$ N to 55$^{\circ}$ S. The flux ranges were 4 to 33 nmol m$^{-2}$ day$^{-1}$ , with an average value of 11$\pm$8 nmol m$^{-2}$ day$^{-1}$ . This study also indicated that the current approach to estimate the flux was not systematically different from the sea-air exchange model.
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Shon, In-Jin,Park, Na-Ra,Doh, Jung-Mann,Yoon, Jin-Kook American Scientific Publishers 2013 Journal of Nanoscience and Nanotechnology Vol.13 No.3
<P>Nanocrystalline 4Fe-Al2O3 composite was simultaneously synthesized and consolidated by pulsed current activated sintering (PCAS) method within 5 min from mechanically activated powders of Fe2O3 and 2FeAl. The average grain size and mechanical properties of the composite were investigated. The average grain sizes of Fe and Al2O3 prepared by PCAS were about 75 nm and 54 nm, respectively. The average hardness and fracture toughness values obtained were 770 kg/mm2 and 9.3 MPa x m1/2, respectively.</P>
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Shon, Zang-Ho Korean Society for Atmospheric Environment 2002 한국대기환경학회지 Vol.18 No.E2
Dimethyl sulfide (DMS) is the major sulfur gas released from the ocean. The atmospheric DMS released from the ocean is oxidized mainly by hydroxyl (OH) radical during the day and nitrate (NO$_3$) radical at night to form sulfur dioxide (SO$_2$) as well as other stable products. The oxidation mechanism of DMS via OH has been known to proceed by two channels; abstraction and addition channels. The major intermediate product of the addition channel has been known to be dimethylsulfoxide (DMSO) based on laboratory chamber studies and field experiments. However, a branching ratio for DMSO formation is still uncertain. The reaction of DMSO with OH ultimately produces SO$_2$and dimethylsulfone. The major product of the abstraction channel has known to be SO$_2$from laboratory chamber studies. But overall conversion efficiency for DMS to SO$_2$from DMS oxidation is still inconsistent in the literature. Based on laboratory and field studies, the conversion efficiency from the abstraction channel is likely to be greater than 0.5, while that from the addition channel is likely to be greater than 0.6. Overall conversion efficiency from DMS to SO$_2$might be greater than 0.5 based on the above two values in the remote marine boundary layer (MBL). This high efficiency in the remote MBL is supported by strong coupling between DMS and SO$_2$measurements with high temporal resolution.
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Comparison of Muscle Activities of Trunk and Lower Limb during Bow and Squat Exercises
Shon, Ji-won,Lim, Hyung-won 대한물리치료학회 2016 대한물리치료학회지 Vol.28 No.2
Purpose: The purposes of this study were to examine muscle activities of trunk and lower limb during squat and 108 bows exercises and to provide objective data for establishing a training method for improving muscle strength of trunk and lower limb. Methods: Twenty normal healthy subjects participated in this study. Each exercise was divided into five periods. Muscle activities of trunk and lower limb in each period of both 108 bows and squat exercises were measured and analyzed by independent t-test. Results: In starting, mid-flexion, mid-extension, and end period muscle activities obtained from 108 bows exercise were significantly higher than those from squat exercise. However, in the final flexion period, muscle activities of multifidus, elector spinae, rectus femoris, biceps femoris, and tibialis anterior from squat exercise were significantly higher than those from bow exercise. Conclusion: In this study, high muscle activities in most muscles of trunk and lower limb were observed from all periods of 108 bows exercise except the final flexion period. Therefore, it is likely that 108 bows exercise rather than squat exercise is more suitable for high strength exercise to improve muscle strength of trunk and lower limb and thus will be applicable for strengthening muscles of trunk and lower limb of patients.
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Shon, Byung Hoon,Jung, Chung Woo,Kwon, Oh Jin,Choi, Chang Kyoung,Tae Kang, Yong Elsevier 2018 INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER - Vol.122 No.-
<P><B>Abstract</B></P> <P>Refrigerants have been continuously developed to improve their thermal performances and to deal with relevant environmental issues. Recently, regulations on refrigerants are being intensified due to the global warming. To meet the enhanced environmental standards, low global warming potential (GWP) refrigerants have been developed. In this study, experimental studies are conducted to investigate the characteristics of condensation heat transfer and frictional pressure drop for R-1233zd(E). The experiments are carried out under partial condensation conditions in a plate heat exchanger to measure temperature, pressure and mass flow rate. Heat transfer coefficients and frictional pressure drops with respect to mean vapor qualities are yielded. During the partial condensation process, the heat transfer coefficients increases as the mass and heat fluxes increase. However, no significant change in frictional pressure drop is observed when the heat flux changes. It is concluded that other correlations for Nusselt number and pressure drop from the literature cannot be applied for the low GWP refrigerant, R-1233zd(E), and the present experimental correlations agree well with the experimental results with the error bands of ±20%.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The condensation heat transfer and pressure drop in PHE with R-1233zd(E) are experimentally tested. </LI> <LI> No significant change in frictional pressure drop is observed when the heat flux changes. </LI> <LI> The present experimental correlations agree well with the experimental results with the error bands of ±20%. </LI> <LI> Other correlations from the literature cannot be applied for the low GWP refrigerant, R-1233zd(E). </LI> </UL> </P>
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