• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1998년도 봄 학술발표회 논문집
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• pp.291-300
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• 1998

This paper demonstrates how ambient vibration measurements at a limited number of locations can be effectively utilized to estimate parameters of a finite element model of a large-scale structural system involving a large number of elements. System identification using ambient vibration measurements presents a challenge requiring the use of special identification techniques, which ran deal with very small magnitudes of ambient vibration contaminated by noise without the knowledge of input farces. In the present study, the modal parameters such as natural frequencies, damping ratios, and mode shapes of the structural system were estimated by means of appropriate system identification techniques including the random decrement method. Moreover, estimation of parameters such as the stiffness matrix of the finite element model from the system response measured by a limited number of sensors is another challenge. In this study, the system stiffness matrix was estimated by using the quadratic optimization involving the computed and measured modal strain energy of the system, with the aid of a sensitivity relationship between each element stiffness and the modal parameters established by the second order inverse modal perturbation theory. The finite element models thus identified represent the actual structural system very well, as their calculated dynamic characteristics satisfactorily matched the observed ones from the ambient vibration test performed on a large-scale structural system subjected primarily to ambient wind excitations. The dynamic models identified by this study will be used for design of an active mass damper system to be installed on this structure fer suppressing its wind vibration.

• 유통과학연구
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• 제11권1호
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• pp.15-23
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• 2013

Purpose - During a reform period lasting 30 years, the Blue Economic Zone (BEZ) in the Shandong Peninsula has made progress in attracting foreign investment, and has acquired the foreign direct investment (FDI) essential for economic growth. It is therefore important to conduct a proactive and systematic study of FDI in the BEZ. Research design, data, methodology - This dissertation discusses the contribution of FDI on economic growth, from both a theoretical and empirical perspective. Taking seven core cities for study, statistics and econometrics are used, and panel data are used to validate FDI contribution to import and export in the BEZ. Results- FDI was found to exert both positive and negative influences on the imports and exports of the BEZ. In other words, the research findings are consistent with Trade Generated and Inverse Trade Generated theories put forward by Kojima and Mundell, among other researchers mentioned earlier in this paper. Further, FDI has greatly increased imports and exports for the BEZ. Conclusions - According to the results of this empirical study on local investment environment optimization, FDI plays an important role in foreign trade. This dissertation puts forward recommendations on using FDI to better promote economic growth in the BEZ.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.257-258
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• 2006

In this paper, we address several issues in the real time implementation of MPEG-1 Layer II decoder on a fixed-point digital signal processor (DSP), especially TMS320C6416. There is a trade-off between processing speed and the size of program/data memory for the optimal implementation. In a view of the speed optimization, we first convert the floating point operations into fixed point ones with little degradation in audio quality, and then the look-up tables used for the inverse quantization of the audio codec are forced to be located into the internal memory of the DSP. And then, window functions and filter coefficients in the decoder are precalculated and stored as constant, which makes the decoder faster even larger memory size is required. It is shown from the real-time experiments that the fixed-point implementation enables us to make the decoder with a sampling rate of 48 kHz operate with 3 times faster than real-time on TMS320C6416 at a clock rate of 600 MHz.

• Structural Engineering and Mechanics
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• 제33권6호
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• pp.765-779
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• 2009

Quantitative condition assessment of structures has been traditionally using proof load test leading to an indication of the load-carrying capacity. Alternative approaches using ultrasonic, dynamics etc. are based on the unloaded state of the structure and anomalies may not be fully mobilized in the load resisting path and thus their effects are not fully included in the measured responses. This paper studies the effect of the load carried by a reinforced concrete beam on the assessment result of the crack damage. This assessment can only be performed with an approach based on static measurement. The crack damage is modelled as a crack zone over an area of high tensile stress of the member, and it is represented by a damage function for the simulation study. An existing nonlinear optimization algorithm is adopted. The identified damage extent from a selected high level load and a low load level are compared, and it is concluded that accurate assessment can only be obtained at a load level close to the one that creates the damage.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 춘계학술대회
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• pp.2076-2081
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• 2004

Future exhaust gas limits for diesel-driven passenger cars will force the automotive industry to significantly improve the performance of engine. Since modern common-rail injection systems deliver more degrees of freedom referring to the injection process, again the optimization of the injection process could offer a possibility to meet the exhaust gas limits. This study describes the characteristic the pilot spray structure of piezo-driven injector for a passenger car common-rail system to be applicable multiple injection caused by fast response rather than solenoid-driven injector. The piezo-driven injector is prototype injector with same needle chamber of solenoid injector and the solenoid-driven one is commercial injector. The pilot spray characteristic such as spray tip penetration, spray speed, spray angle were obtained by spray images, which is measured by the Mie scattering method with optical system for high-speed temporal photography. It was found that piezo-driven injector effected electric change as important factor and showed faster response than solenoid-driven injector.

• 대한의용생체공학회:의공학회지
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• 제29권3호
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• pp.231-238
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• 2008

Nelder-Mead downhill simplex method (DSM), a kind of deterministic optimization algorithms, has been used extensively for magnetoencephalography(MEG) dipolar source localization problems because it dose not require any functional differentiation. Like many other deterministic algorithms, however, it is very sensitive to the choice of initial positions and it can be easily trapped in local optima when being applied to complex inverse problems with multiple simultaneous sources. In this paper, some modifications have been made to make up for DSM's limitations and improve the accuracy of DSM. First of all, initial point determination method for DSM using magnetic fields on the sensor surface was proposed. Secondly, Univariant-DSM combined DSM with univariant method was proposed. To verify the performance of the proposed method, it was applied to simulated MEG data and practical MEG measurements.

• 한국정보전자통신기술학회논문지
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• 제2권2호
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• pp.37-43
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• 2009

본 논문에서는 저 전력 시스템에 적합한 고정 소수점 연산기로 구현된 다중 채널 디지털 보청기 알고리즘의 최적화 기법을 제시한다. 먼저 입력 신호를 고속 MDCT(modified discrete cosine transform) 방법을 사용하여 주파수 대역 분할함으로써 알고리듬의 복잡도를 최소화 하였고, MDCT 출력을 비선형 대역 분할 과정을 거쳐 채널별 그룹핑을 한 다음, 각 채널 신호를 난청인의 청각 손실 정도에 따라 구성한 라우드니스 보상 함수(loudness compensation function: LCF)표를 이용하여 이득을 조절하고, 최종적으로 TDAC 기법을 구현하는 IMDCT(Inverse MDCT) 변환을 거쳐 보상된 출력을 합성한다. 모든 과정은 16비트 정수 연산으로 구현되며, 이득을 계산하기 위해 측정되는 로그 단위의 연산 과정은 미리 계산된 테이블과 고속 탐색 알고리듬을 이용하여 구현된다. 구성된 보청기 알고리즘의 성능을 컴퓨터 시뮬레이션을 통해 평가하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2188-2203
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• 2021

With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.

• ETRI Journal
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• 제43권1호
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• pp.7-16
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• 2021

Noncontiguous orthogonal frequency division multiplexing (NC-OFDM)-based cognitive radio (CR) systems achieve highly efficient spectrum utilization by transmitting unlicensed users' data on subcarriers of licensed users' data when they are free. However, there are two disadvantages to the NC-OFDM system: out-of-band power (OBP) and a high peak-to-average power ratio (PAPR). OBP arises due to side lobes of an NC-OFDM signal in the frequency domain, and it interferes with the spectrum for unlicensed users. A high PAPR occurs due to the inverse fast Fourier transform (IFFT) block used in an NC-OFDM system, and it induces nonlinear effects in power amplifiers. In this study, we propose an algorithm called "Alternative Projections onto Convex and Non-Convex Sets" that reduces the OBP and PAPR simultaneously. The alternate projections are performed onto these sets to form an iteration, and it converges to the specified limits of in-band-power, peak amplitude, and OBP. Furthermore, simulations show that the bit error rate performance is not degraded while reducing OBP and PAPR.

• 대한방사선치료학회지
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• 제26권1호
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• pp.11-19
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• 2014

목 적 : 최적화 알고리즘에 적용되는 최적화 인자들의 영향을 고려하여, 가장 적합한 인자 값을 도출함으로써 이상적인 치료계획을 쉽게 설계할 수 있도록 하고자 한다. 대상 및 방법 : 본 연구의 세기조절방사선치료에서 선량계산 알고리즘은 PBC(Pencil Beam Convolution)이고, 최적화 알고리즘은 DVO(Dose Volume Optimizer 10.0.28)이다. 두경부 환자의 세기조절방사선치료에서 치료계획용적의 처방선량은 동시에 2.2 Gy와 2.0 Gy가 될 수 있도록 하였다. 치료계획은 6 MV, 7개의 조사야로 역선량계산방법으로 수립하였다. 최적화 알고리즘 인자는 용적선량-조건강도(Priority, Constrain), 선량부 드럼강도(Smooth)로 선정하고, 각 인자들의 변화량에 따른 치료계획의 영향을 분석하였다. 용적선량-조건강도는 기준 조건강도를 정하고, 비율은 같지만 절대 값은 다른 최적화 과정을 실시하였다. 또한 조건강도의 절대 값에 변화에 따른 치료용적과 주변 정상장기들을 평가하였다. 선량부드럼강도는 기준 조건의 단순 변화와 용적선량-조건강도와 관련시킨 변화를 치료계획에 반영시켰다. 치료계획은 처방선량지수(Conformal Index, CI), 처방선량포함지수(Paddick's Conformal Index, PCI), 선량균질지수(Homogeneity Index, HI)와 각 장기의 평균선량으로 평가하였다. 결 과 : 용적선량-조건강도의 비율을 동일하게 하고 절대 값을 변화 시켰을 때 CI값은 다르지만, PCI는 $1.299{\pm}0.006$, HI는 $1.095{\pm}0.004$, D5%/D95%는 $1.090{\pm}1.011$으로 처방선량에 대한 영향은 유사하였다. 이하선의 평균선량은 용적선량-조건강도의 절대 값이 40, 60, 70, 90으로 증가될 때, 67.4, 50.3, 51.2, 47.1 Gy로 감소하였다. 각각의 치료계획에서 선량부드럼강도를 증가시켰을 때, PCI는 $1.338{\pm}0.006$로 증가된 값을 보였다. 결 론 : 용적선량-조건강도는 절대적인 값보다 각 조건의 비율에 따라 최적화 알고리즘에 영향을 주었다. 절대 값이 다르더라도 같은 비율을 유지하면 유사한 치료계획이 수립되었다. 성공적인 치료계획을 수립하기 위해 특히 보호해야할 정상장기의 용적선량-조건강도는 치료용적의 용적선량-조건강도의 50%이상 되어야한다. 선량부드럼강도는 용적선량-조건강도에 따라 비례하여 증가하거나 감소하여야 한다. 단순히 절대 값으로 적용하면 용적선량-조건강도는 그 조건을 충분히 만족시키지 못한다.