• International journal of advanced smart convergence
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• 제7권2호
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• pp.95-100
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• 2018

In this paper, we propose a binarized multi-scale module to accelerate the speed of the pose estimating deep neural network. Recently, deep learning is also used for fine-tuned tasks such as pose estimation. One of the best performing pose estimation methods is based on the usage of two neural networks where one computes the heat maps of the body parts and the other computes the part affinity fields between the body parts. However, the convolution filtering with a large kernel filter takes much time in this model. To accelerate the speed in this model, we propose to change the large kernel filters with binarized multi-scale modules. The large receptive field is captured by the multi-scale structure which also prevents the dropdown of the accuracy in the binarized module. The computation cost and number of parameters becomes small which results in increased speed performance.

• Nuclear Engineering and Technology
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• 제49권6호
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• pp.1114-1124
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• 2017

Acceleration/preconditioning strategies available in the SCEPTRE radiation transport code are described. A flexible transport synthetic acceleration (TSA) algorithm that uses a low-order discrete-ordinates ($S_N$) or spherical-harmonics ($P_N$) solve to accelerate convergence of a high-order $S_N$ source-iteration (SI) solve is described. Convergence of the low-order solves can be further accelerated by applying off-the-shelf incomplete-factorization or algebraic-multigrid methods. Also available is an algorithm that uses a generalized minimum residual (GMRES) iterative method rather than SI for convergence, using a parallel sweep-based solver to build up a Krylov subspace. TSA has been applied as a preconditioner to accelerate the convergence of the GMRES iterations. The methods are applied to several problems involving electron transport and problems with artificial cross sections with large scattering ratios. These methods were compared and evaluated by considering material discontinuities and scattering anisotropy. Observed accelerations obtained are highly problem dependent, but speedup factors around 10 have been observed in typical applications.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2005년도 학술발표대회 논문집
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• pp.51-67
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• 2005

General chip SMD parts(chip resistance, chip capacitor, chip varistor etc.) are very wide sed electronics parts for IT units. But, failure modes are indistinct for these chip parts. In factory and field the failure modes are recognized to accidental failure mope caused by potential defect. In this paper used chip varistor ALT(Accelerate Life Test) test for verify general failure modes in chip SMD parts. Also the results are useful for general chip SMD ALT tests.

• 항공우주시스템공학회지
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• 제13권4호
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• pp.60-65
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• 2019

본 연구에서 항공기에 적용되는 보조연료탱크의 연료시스템에 대한 구조 설계 및 해석을 수행하였다. 구조 설계 결과에 대한 구조 안전성을 검토하였다. 연료시스템 구조에 적용된 재료는 알루미늄 합금 금속재이다. 구조 해석은 상용 유한 요소 해석 소프트웨어를 활용하여 구조 해석을 수행하였다. 설계 요구 조건은 구조물이 가속도 조건을 만족해야 한다. 따라서 최대 가속도 조건을 고려하여 구조 설계를 수행하였다. 본 연구를 통하여 보조연료탱크의 구조 설계 결과는 안전성을 확보한 것으로 분석되었다.

• 전자통신동향분석
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• 제38권5호
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• pp.12-22
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• 2023

The development of neural networks is evolving towards the adoption of transformer structures with attention modules. Hence, active research focused on extending the concept of lightweight neural network algorithms and hardware acceleration is being conducted for the transition from conventional convolutional neural networks to transformer-based networks. We present a survey of state-of-the-art research on lightweight neural network algorithms and hardware architectures to reduce memory usage and accelerate both inference and training. To describe the corresponding trends, we review recent studies on token pruning, quantization, and architecture tuning for the vision transformer. In addition, we present a hardware architecture that incorporates lightweight algorithms into artificial intelligence processors to accelerate processing.

• Journal of Electrical Engineering and information Science
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• 제1권2호
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• pp.67-76
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• 1996

In the present paper we propose two new improved iterative restoration algorithms. One is to accelerate convergence of the steepest descent method using the improved search directions, while the other accelerates convergence by using preconditioners. It is also shown that the proposed preconditioned algorithm can accelerate iteration-adaptive iterative image restoration algorithm. The preconditioner in the proposed algorithm can be implemented by using the FIR filter structure, so it can be applied to practical application with manageable amount of computation. Experimental results of the proposed methods show good perfomance improvement in the sense of both convergence speed and quality of the restored image. Although the proposed methods cannot be directly included in spatially-adaptive restoration, they can be used as pre-processing for iteration-adaptive algorithms.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2005년도 하계 학술대회 논문집
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• pp.185-189
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• 2005

• 대한기계학회논문집
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• 제15권6호
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• pp.1967-1974
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• 1991

본 연구에서는 근육수축에 의해 발생되는 각 신체부분의 각가속도의 방향이 다음 두가지 요소의 변화에 따라 어떻게 달라지는가를 중점적으로 살펴보기로 한다` (1) 신체매개변수(body-segmental parameter): 길이, 무게 등, (2) 신체 각 부분의 위치. 이러한 상관관계를 더욱 명확히 이해함으로써, 주어진 운동(given task)을 FES 에 의해 수행하고자 할 때 전기적으로 자극되어야 할 근육을 사전에 선택할 수 있을 것이다.

• 분석과학
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• 제9권2호
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• pp.161-167
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• 1996

이성분계 첨가물을 이용한 카드뮴 석출과 수소 생성의 상대족인 속도를 조절할 수 있는 가능한 방법에 대하여 조사하였다. 수소를 발생하는 물의 전기환원을 억제하는 소수성 필름을 형성할 수 있는 벤질 알코올을 첨가제 중의 하나로 선택하였다. 다른 한 가지 첨가제는 카드뮴(II) 이온의 친수성을 약화시킴으로써 소수성 벤질 알코올 필름층을 쉽게 가로질러 환원극에 전착시킬 수 있는 것을 선택하였다. 전압 전류 효율 연구로부터 이온쌍과 착물 첨가제가 벤질 알코올 필름 존재하에서 카드뮴의 환원을 촉진시킬 수 있다는 것을 확인하였다. 벤질 알코올 필름은 나트륨 이온과 카드뮴의 염화착물을 형성하는 이온쌍을 얻기에 충분하도록 전극 주위의 유전상수를 낮추고, 카드뮴의 환원을 촉진시킨다. 이러한 환원의 촉진은 염화물이 존재하지 않는 황산염 용액에서는 일어나지 않는다. 왜냐하면 카드뮴은 본래 아쿠아 착물과 이온쌍으로 존재하여 카드뮴의 환원을 촉진시키지 못하고 환원을 방해시키기 때문이다.

• Wind and Structures
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• 제20권5호
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• pp.643-660
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• 2015

The wind tunnel test of large-scale sectional model and computational fluid dynamics (CFD) are employed for the purpose of studying the aerodynamic appendices and mechanism on suppression for the vortex-induced vibration (VIV). This paper takes the HongKong-Zhuhai-Macao Bridge as an example to conduct the wind tunnel test of large-scale sectional model. The results of wind tunnel test show that it is the crash barrier that induces the vertical VIV. CFD numerical simulation results show that the distance between the curb and crash barrier is not long enough to accelerate the flow velocity between them, resulting in an approximate stagnation region forming behind those two, where the continuous vortex-shedding occurs, giving rise to the vertical VIV in the end. According to the above, 3 types of wind fairing (trapezoidal, airfoil and smaller airfoil) are proposed to accelerate the flow velocity between the crash barrier and curb in order to avoid the continuous vortex-shedding. Both of the CFD numerical simulation and the velocity field measurement show that the flow velocity of all the measuring points in case of the section with airfoil wind fairing, can be increased greatly compared to the results of original section, and the energy is reduced considerably at the natural frequency, indicating that the wind fairing do accelerate the flow velocity behind the crash barrier. Wind tunnel tests in case of the sections with three different countermeasures mentioned above are conducted and the results compared with the original section show that all the three different countermeasures can be used to control VIV to varying degrees.