• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1674-1688
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• 2023

The remarkable advancement of quantum steganography offers enhanced security for quantum communications. However, there is a significant concern regarding the potential misuse of this technology. Moreover, the current research on identifying malicious quantum steganography is insufficient. To address this gap in steganalysis research, this paper proposes a specialized quantum steganalysis algorithm. This algorithm utilizes quantum machine learning techniques to detect steganography in general quantum secure communication schemes that are based on pure states. The algorithm presented in this paper consists of two main steps: data preprocessing and automatic discrimination. The data preprocessing step involves extracting and amplifying abnormal signals, followed by the automatic detection of suspicious quantum carriers through training on steganographic and non-steganographic data. The numerical results demonstrate that a larger disparity between the probability distributions of steganographic and non-steganographic data leads to a higher steganographic detection indicator, making the presence of steganography easier to detect. By selecting an appropriate threshold value, the steganography detection rate can exceed 90%.

• Architectural research
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• v.18 no.1
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• pp.31-38
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• 2016

The surface design in architecture plays a role as an indicator that symbolizes cultures and styles, in accordance with the course of history and the standards of the time. The surface design that determines the facade of an architectural structure allows us to have a more clear understanding about the functions, programs and structures, as well as the periodical concept of the architects than any other components of the architecture. The purpose of this paper was to examine how architectural surface designs were realized, using commonly-used materials. This study provides meaningful implications, in that it suggests common features in terms of design methodologies (between architecture and non-architecture fields), and presented new possibilities for contemporary architectural surface designs through the classification of building system methods depending on fabric properties, and through the case study analysis of architectural surface designs; in addition, the results of this study could be utilized as basic data for future studies on the possibility of the expression of surface designs across a broader domain.

• Journal of IKEEE
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• v.22 no.1
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• pp.143-148
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• 2018

In this paper, a novel turn signal indication scheme is proposed and implemented to handle the turn signal of a vehicle automatically. By adopting accelerometer for the motion recognition of vehicle's momentum, the proposed way could control and manage turn signals according to the moving direction of a car when a driver forgot handling turn signal lever. The designed control system is plugged into the motorbike and tested to demonstrate improved driver's safety suitable for ADAS.

• 한국디지털정책학회:학술대회논문집
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• 2006.06a
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• pp.191-196
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• 2006

정부는 그 동안 공공부문의 문제점으로 지적되어 왔던 낮은 경영성과, 저 생산성, 고비용 구조, 낮은 시장 대응력, 조직 운영의 비효율성 등의 문제를 해결하기 위하여 공공부문을 포함하는 정부 혁신을 강력하게 추진하고 있다. 이러한 혁신의 핵심은 체계적인 성과관리에 있다. 지방공기업 역시 경영효율성을 높이고 경쟁력을 강화하기 위해서는 무엇보다도 자율 경영 체제하에서 경영성과를 정확히 측정하고 그에 따른 보상체계를 마련하는 것이 필수적이다. 논문에서는 이러한 BSC(Balance score card) 기반에서 다원화된 평가주체에 부합하는 지방공기업의 성과 지표에 대한 틀을 설계하고 이를 이용하여 실례로 광주광역시환경시설공단에 적용한 사례를 보이고자 한다.

• Proceedings of the KSME Conference
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• 2001.11a
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• pp.521-526
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• 2001

This research develops a low-cost and high accurate kinematic calibration method for a parallel typed machining center tool. A planar table is used for a mechanical fixture restricting the platform to place at the constrained pose and a low-cost and high accurate digital indicator is employed for a device checking if the constrained movement is satisfied within the established range. The kinematic parameters calibrated with respect to a single plane aren't influenced from the misalignment of the plane. A parameter observability is successfully obtained even through one planar constraint, which guarantees that the kinematic parameters is estimated by minimizing the cost function.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.29 no.6 s.237
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• pp.795-803
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• 2005

This paper studies the observability of calibration system with a measurement operator. The calibration system needs a simple digital indicator to measure the mobile table movements with respect to the MC coordinate. However, it yields the concern about the poor parameter observability due to measuring only a part of the movements. We uses the QR-decomposition to find the optimal calibration configurations maximizing the linear independence of rows of an observation matrix. The number of identifiable parameter is examined by the rank of the observation matrix, which represents the parameter observability. The method is applied to a 6-axis MC with parallel tilting table and the calibration results are presented. These results verify that all necessary kinematic parameters are observable and the calibration system has robustness to the noise using optimal calibration configurations.

• Proceedings of the KSME Conference
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• 2003.11a
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• pp.1512-1517
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• 2003

This paper presents the calibration for the parallel typed tilting table. The calibration system needs only simple sensing device which is a digital indicator to measure the orientation of a table. The calibration algorithm is developed by a measurement operator. It eliminates the concern about the poor parameter observability due to a large number of parameters of parallel-mechanism. This paper uses the QR-decomposition to find the optimal calibration configurations maximizing the linear independence of rows of a observation matrix. The number of identifiable parameters is examined by the rank of the observation matrix, which represents the parameter observability. The method is applied to a Parallel-typed Tilting Table and all the necessary kinematic parameters are identifiable.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.38 no.8
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• pp.617-628
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• 1989

In systematic tuning of digital STC parameters, systems with time-varying parameters and systems with time-varying delays are studied individually because of many preconditions and difficulties. In order to eliminate all these difficulties effectively, the expert control technique is required to enhance STC control functions. In this paper, an expert controller, a STC utilizing expert control technique, for process control is designed. The expert controller is composed of an unstability indicator for detecting plant unstability, an expert back-up controller and an expert STC which are switched each other by the unstability indication, and expert system with knowledge base and inference engine. This expert controller is able to perform control functions successfuly for the following` 1) a system which has unknown and time-varying delay time, 2) a time-varying system which has unknown parameters, and 3) a system with minimun and non-minimum phase. The robust control function is demonstrated by computer simulations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.12
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• pp.4624-4642
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• 2014

Image compression is a popular research issue that focuses on the problems of reducing the size of multimedia files. Vector Quantization (VQ) is a well-known lossy compression method which can significantly reduce the size of a digital image while maintaining acceptable visual quality. A locally adaptive scheme (LAS) was proposed to improve the compression rate of VQ in 1997. However, a LAS needs extra indicators to indicate the sources, consequently the compression rate of LAS will be affected. In this paper, we propose a novel method to eliminate the LAS indicators and so improve the compression rate. The proposed method uses the concept of data hiding to conceal the indicators, thus further improving the compression rate of LAS. From experimental results, it is clearly demonstrated that the proposed method can actually eliminate the extra indicators while successfully improving the compression rate of the LAS.

• Proceedings of the KIEE Conference
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• 2001.07e
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• pp.116-119
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• 2001

In this research, we detect the charge state within $0.1{\sim}0.3[A]$ and develop the intelligent digital charge device by applying a fine pulse signal using PWM inverter and Proportional-Integral(PI) controller which uses micro -processor and intelligent technique. The ripple rate is within ${\pm}1%$, and the indicator error rate of full charge state is within ${\pm}1%$, and the voltage stability is within ${\pm}0.1[V]$, and the accuracy of voltage detect is 48[V] and ${\pm}0.5[V]$ in the reference of 100[A].