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Authentication Mechanism Using Three-Dimensional Optical Memory (3차원 광메모리를 이용한 인증 기법)

  • Park, CheolYong;Ryou, JaeCheol
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.6
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    • pp.1361-1373
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    • 2016
  • Recently the need for user authentication with increasing, there are a variety of mechanisms, such as password, graphic authentication, token, biometrics and multiple authentication. in particular, the data of the 2-dimensional(2D) factors such as password, graphic authentication, biometrics is used because of the convenience. The stored information is problematic in that additional data recording needs to be performed whenever authentication data is updated. Furthermore, this storage method is problematic in that the time it takes to perform authentication increases because the time it takes to compare storage data with authentication data increases in proportion to an increase in the amount of the storage data. Accordingly, authentication through the rapid comparison of storage data with authentication data is a very important factor in data recording and authentication technology using memory. Using the three-dimensional(3D) optical memory by variously changing the recoding elements during recoding of data constitutes the way that multiple recoding different data storage. This enables high-density recoding in this way, and by applying the possible parallel processing at the time of recording and restoring method, provided that it is possible to quickly record and restore the data. In addition, each time to solve problems that require additional data recorded by a combination of the stored data record in the old data using a combination of the authentication. The proposed mechanism is proposed an authentication method using scheme after the recoding data in 3D optical memory to apply the conditions corresponding to the recoding condition when restoring the recorded data and through the experiment it was confirmed possible application as an authentication mechanism.

A Study on the Performance Characteristics of a Disk-type Drag Pump (원판형 드래그펌프의 성능특성에 관한 연구)

  • Hwang, Young-Kyu;Heo, Joong-Sik
    • Proceedings of the KSME Conference
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    • 2001.06e
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    • pp.643-648
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    • 2001
  • The direct simulation Monte Carlo(DSMC) method is applied to investigate steady and unsteady flow fields of a single-stage disk-type drag pump. Two different kinds of pumps are considered: the first one is a rotor-rotor combination, and the second one is a rotor-stator combination. The pumping channels are cut on a rotor and stator. The rotor and stator have 10 Archimedes' spiral blades, respectively. In the present DSMC method, the variable hard sphere model is used as a molecular model, and the no time counter method is employed as a collision sampling technique. For simulation of diatomic gas flows, the Borgnakke-Larsen phenomenological model is adopted to redistribute the translational and internal energies. The DSMC results are in good agreement with the experimental data.

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Intelligent Fault Diagnosis of Induction Motors Using Vibration Signals (진동신호를 이용한 유도전동기의 지능적 결함 진단)

  • Han, Tian;Yang, Bo-Suk;Kim, Jae-Sik
    • Proceedings of the KSME Conference
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    • 2004.04a
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    • pp.822-827
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    • 2004
  • In this paper, an intelligent fault diagnosis system is proposed for induction motors through the combination of feature extraction, genetic algorithm (GA) and neural network (ANN) techniques. Features are extracted from motor vibration signals, while reducing data transfers and making on-line application available. GA is used to select most significant features from whole feature database and optimize the ANN structure parameter. Optimized ANN diagnoses the condition of induction motors online after trained by the selected features. The combination of advanced techniques reduces the learning time and increases the diagnosis accuracy. The efficiency of the proposed system is demonstrated through motor faults of electrical and mechanical origin on the induction motors. The results of the test indicate that the proposed system is promising for real time application.

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A Study on Noisy Speech Recognition Using a Bayesian Adaptation Method (Bayesian 적응 방식을 이용한 잡음음성 인식에 관한 연구)

  • 정용주
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.2
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    • pp.21-26
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    • 2001
  • An expectation-maximization (EM) based Bayesian adaptation method for the mean of noise is proposed for noise-robust speech recognition. In the algorithm, the on-line testing utterances are used for the unsupervised Bayesian adaptation and the prior distribution of the noise mean is estimated using the off-line training data. For the noisy speech modeling, the parallel model combination (PMC) method is employed. The proposed method has shown to be effective compared with the conventional PMC method for the speech recognition experiments in a car-noise condition.

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Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis

  • Jun, Inyoung;Choi, Wooree;Park, Mira
    • Genomics & Informatics
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    • v.16 no.4
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    • pp.33.1-33.9
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    • 2018
  • Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way they are related to phenotype. Multi-block data, which is a summation form of variable sets, is used for enhancing the analysis of the relationships of different blocks. By identifying relationships through a multi-block data form, we can understand the association between the blocks in comprehending the correlation between them. Several statistical analysis methods have been developed to understand the relationship between multi-block data. In this paper, we will use generalized canonical correlation methodology to analyze multi-block data from the Korean Association Resource project, which has a combination of single nucleotide polymorphism blocks, phenotype blocks, and disease blocks.

Preliminary Analysis on the Effects of Tropospheric Delay Models on Geosynchronous and Inclined Geosynchronous Orbit Satellites

  • Lee, Jinah;Park, Chandeok;Joo, Jung-Min
    • Journal of Positioning, Navigation, and Timing
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    • v.10 no.4
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    • pp.371-377
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    • 2021
  • This research proposes the best combination of tropospheric delay models for Korean Positioning System (KPS). The overall results are based on real observation data of Japanese Quasi-Zenith satellite system (QZSS), whose constellation is similar to the proposed constellation of KPS. The tropospheric delay models are constructed as the combinations of three types of zenith path delay (ZPD) models and four types of mapping functions (MFs). Two sets of International GNSS Service (IGS) stations with the same receiver are considered. Comparison of observation residuals reveals that the ZPD models are more influential to the measurement model rather than MFs, and that the best tropospheric delay model is the combination of GPT3 with 5 degrees grid and Vienna Mapping Function 1 (VMF1). While the bias of observation residual depends on the receivers, it still remains to be further analyzed.

The evaluation of concrete high fluidity by the combination of hybrid fiber (하이브리드 섬유의 조합에 따른 콘크리트의 고유동성 평가)

  • Jung, Sang-Kyung;Kim, Young-Su
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.11a
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    • pp.51-52
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    • 2015
  • In this study, the concrete in which the hybrid fiber with different volume and rate was intermixed in high fluidity concrete. However, Fiber Ball is frequently caused by the decrease in the dispersion of the fiber. The research has been conducted primarily study of single fiber or hybrid fiber, such as different length of single fiber. Therefore, we investigate the mechanical properties of concrete was mixed with a combination of various fibers been produced domestically. Its purpose being to provide basic data for evaluating the impact hybrid fibers on the fluidity of concrete.

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Berberine Inhibited Radioresistant Effects and Enhanced Anti-Tumor Effects in the Irradiated-Human Prostate Cancer Cells

  • Hur, Jung-Mu;Kim, Dong-Ho
    • Toxicological Research
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    • v.26 no.2
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    • pp.109-115
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    • 2010
  • The purpose of this study was to elucidate the mechanism underlying enhanced radiosensitivity to $^{60}Co\;{\gamma}$-irradiation in human prostate PC-3 cells pretreated with berberine. The cytotoxic effect of the combination of berberine and irradiation was superior to that of berberine or irradiation alone. Cell death and Apoptosis increased significantly with the combination of berberine and irradiation. Additionally, ROS generation was elevated by berberine with or without irradiation. The antioxidant NAC inhibited berberine and radiation-induced cell death. Bax, caspase-3, p53, p38, and JNK activation increased, but activation of Bcl-2, ERK, and HO-1 decreased with berberine treatment with or without irradiation. Berberine inhibited the anti-apoptotic signal pathway involving the activation of the HO-1/NF-${\kappa}B$-mediated survival pathway, which prevents radiation-induced cell death. Our data demonstrate that berberine inhibited the radioresistant effects and enhanced the radiosensitivity effects in human prostate cancer cells via the MAPK/caspase-3 and ROS pathways.

KSP inhibitor SB743921 induces death of multiple myeloma cells via inhibition of the NF-κB signaling pathway

  • Song, In-Sung;Jeong, Yu Jeong;Nyamaa, Bayalagmaa;Jeong, Seung Hun;Kim, Hyoung Kyu;Kim, Nari;Ko, Kyung Soo;Rhee, Byoung Doo;Han, Jin
    • BMB Reports
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    • v.48 no.10
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    • pp.571-576
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    • 2015
  • SB743921 is a potent inhibitor of the spindle protein kinesin and is being investigated in ongoing clinical trials for the treatment of myeloma. However, little is known about the molecular events underlying the induction of cell death in multiple myeloma (MM) by SB743921, alone or in combination treatment. Here, we report that SB743921 induces mitochondria-mediated cell death via inhibition of the $NF-{\kappa}B$ signaling pathway, but does not cause cell cycle arrest in KMS20 MM cells. SB743921-mediated inhibition of the $NF-{\kappa}B$ pathway results in reduced expression of SOD2 and Mcl-1, leading to mitochondrial dysfunction. We also found that combination treatment with SB743921 and bortezomib induces death in bortezomib-resistant KMS20 cells. Altogether, these data suggest that treatment with SB743921 alone or in combination with bortezomib offers excellent translational potential and promises to be a novel MM therapy.

Economic Feasibility of a Hypothetical Shrimp Farm a Combination of Semi-Closed Raceways and Ponds (시범 새우양식장의 경제적 타당성 연구)

  • 이재후
    • The Journal of Fisheries Business Administration
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    • v.13 no.1
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    • pp.85-97
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    • 1982
  • This study involves a blending of intensive and extensive shrimp culture techniques for a hypothetical shrimp farm which uses a combination of heated raceway nurseries and extensive grow-out ponds per year. The present value method of economic analysis is used to determine economic feasibility. The biological data in this reports were obtained from published or personal communications from leaders in the field of shrimp aquaculture. The proposed system showed economic feasibility using the present value method with discount rates of 10% and 12%. The most profitable scenario, the culture of three crops of Penaeus vannamei showed a 1.26 year payback period and 120% annual average rate of return. The breakeven price was $1.25/1b., which is $1.52 less than the market price of $2.77. Breakeven production was 724 1bs/acre, which is 8761bs. less than the assumed 1,600 1bs/acre. All other scenarios 1.2 and 3 crops for P. stylirostris and P. setiferus showed economic feasibility also.

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