• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.93-94
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• 2016

사용자가 편리하게 사용하는 USB 인터페이스를 지원하는 컨트롤러 내부에 저장된 펌웨어를 조작하여 악의적인 행위를 수행하는 BAD USB가 출현하였다. BAD USB의 경우에는 악의적인 코드가 호스트에 존재하는 것이 아니라 장치 내부의 펌웨어에 존재하기 때문에 현재의 안티 바이러스 제품이 탐지하지 못하므로 그 대응방안이 시급하다. 이에 BAD USB를 탐지하고 대응하기 위한 연구가 활발히 진행되는 추세이지만, 아직 해결책으로는 미비한 실정이다. 따라서 본 논문에서는 사용자 인지를 기반으로 BAD USB를 탐지하는 방안을 제안한다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.270_271
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• 2009

The identification of multiple bad data, especially when mutually interacting, may be difficult to handle, since the well known procedures based on the normalized or weighted residuals may become faulty. In such a case, successive elimination of the measurement with the largest normalized residual may result in the suppression of correct measurements instead of the bad data. Then the problem of identifying bad data is considered as a combinatorial decision procedure. In this paper, binary PSO is used for the identification of multiple bad data in the power system state estimation. The proposed binary PSO based procedures behave satisfactorily in the identifying multiple bad data. The test is carried out with reference to the IEEE-14 bus system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.45-46
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• 2017

본 논문은 사람에 의하여 발생하는 패턴과 기계적으로 발생하는 패턴과의 차이점을 인지함으로써 BAD USB 탐지하는 방안을 제안한다. BAD USB는 펌웨어를 조작하여 악의적인 행위를 수행하는 공격으로, BAD USB를 탐지하기 위한 많은 연구가 진행되었지만, 펌웨어 내부에 존재하는 악성코드를 효과적으로 탐지하기에는 어려움이 존재한다. 따라서 본 논문에서는 사람에 의하여 나타나는 행위에 대한 패턴과 기계적으로 발생하는 패턴을 구분하여 악의적인 행위를 인지함으로써 BAD USB를 탐지하는 방안을 제안한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.559-565
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• 2015

To defend against information leakage or malware inflow by USB memory, security technologies such as copy protection and device control have being researched and developed. However, countermeasure are insufficient despite being recognized as a fatal security-hole for BadUSB presented at the Black Hat Security Conference 2014. To solve this problem, the countermeasures for BadUSB vulnerability are proposed.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.451-458
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• 2021

The objective of this research is to analyze the effect of bad credit and liquidity on bank performance with the mediation of capital adequacy. Data were provided by banking institutions listed on the Indonesia Stock Exchange from the period of 2011-2019. The analysis technique was PLS-SEM supported by an application named WarpPLS 6.0. The results of the research show that the effect of bad credit and liquidity on bank performance is not significant. A high level of bad credit is associated with a low level of bank performance. Bank earnings decline along with low profitability. This relationship is not significant because banks can still cover some proportions of bad credit through capital availability. Capital adequacy as an intervening variable has mediated partially the effect of bad credit and liquidity on bank performance. Besides, capital adequacy has a strong effect on credit distribution. Agency theory says that the owner of the fund (the savers of saving account, current account, deposit account) is called principal while the bank as the trusted institution to manage the fund is called an agent. If customers fulfill their duty, then bad credit never happens.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.35 no.7
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• pp.261-271
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• 1986

This paper describes a method for the state estimation considering current measurement component and detection of the bad data. The state values are estimated by weighted least square method in which measurement vector included bus injection current and line current. The bad data are detected using standardized variable of normal distribution and identified using sensitivity coefficients. When the bad data were occured by the bad measurement values. The results of the application to the model power system reveal the effectiveness of the presented algorithms.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.6
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• pp.877-884
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• 1994

In the power system state estimation, the J(x)-index test and normalized residuals ${\gamma}$S1NT have been the presence of bad measurements and identify their location. But, these methods require the complete re-estimation of system states whenever bad data is identified. This paper presents back-propagation neural network medel using autoregressive filter for identification of bad measurements. The performances of neural network method are compared with those of conventional mehtods and simulation results show the geed performance in the bad data identification based on the neural network under sample power system.

• Communications of the Korean Mathematical Society
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• v.19 no.3
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• pp.453-459
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• 2004

In this paper, we provide an example of "worst cases" of bad pairs of polynomial zeros, namely sums of two polynomials with all pairs of zeros bad and all their zeros real.

• Korean Journal of Microbiology
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• v.51 no.3
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• pp.199-208
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• 2015

Biologics and medical devices manufactured with bovine-derived raw materials have the risk of viral contamination. Therefore, viral validation study is essential to ensure the safety of the products. Bovine adenovirus type-1 (BAdV-1) is one of the common bovine viral pathogens. For quantitative detection of BAdV-1 during the manufacture of biologics and medical devices, a TaqMan probe real-time PCR method was developed. Specific primers and TaqMan probe for amplifying and detecting BAdV-1 DNA were designed. Specificity, limit of detection (LOD), and robustness of the method was validated according to international guideline on the validation of nucleic acid amplification tests for the pathogen detection. The sensitivity of the assay was found to be $7.44{\times}10^1\;TCID_{50}/ml$. The real-time PCR method was reproducible, very specific to BAdV-1, and robust. Moreover, the method was successfully applied to the validation of Chinese Hamster Ovary (CHO)-K1 cells artificially infected with BAdV-1, a commercial CHO master bank, and bovine type 1 collagen. The overall results indicate that this rapid, specific, sensitive, and robust assay can be reliably used for quantitative detection of BAdV-1 contamination during the manufacture of biologics and medical devices using bovine-derived raw materials.

• Journal of Environmental Science International
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• v.12 no.10
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• pp.1101-1108
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• 2003

We studied the relationship between a civil affair occurrence of bad smell and meteorological conditions around Seongseo district for recent 2 years. The results were as follows; (1) The civil affair occurrence days of bad smell were concentrated from May to August. (2) Daily mean temperatures were mostly 20∼28$^{\circ}C$ and daily mean relative humidities were 60∼80%. (3) Wind speeds were mostly less than 2㎧(75%), and wind directions were southerly winds(50%). It was hardly occurred for relatively well-ventilated conditions in cases of wind speeds 2㎧ over. And the Lagrangian particle dispersion model were used to figure out the transport route in a civil affair occurrence days of bad smell. It was found that the south-western winds transported the bad smelling materials from Jungni-dong(the place of source) to the housing complex located along a piedmont district.