• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권10호
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• pp.3458-3478
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• 2022

Automatic modulation recognition is the core algorithm in the field of modulation classification in communication systems. Our investigations show that deep learning (DL) based modulation recognition techniques have achieved effective progress for multiple-input multiple-output (MIMO) systems. However, network complexity is always an additional burden for high-accuracy classifications, which makes it impractical. Therefore, in this paper, we propose a low-complexity dimensional interactive lightweight network (DilNet) for MIMO systems. Specifically, the signals received by different antennas are cooperatively input into the network, and the network calculation amount is reduced through the depth-wise separable convolution. A two-dimensional interactive attention (TDIA) module is designed to extract interactive information of different dimensions, and improve the effectiveness of the cooperation features. In addition, the TDIA module ensures low complexity through compressing the convolution dimension, and the computational burden after inserting TDIA is also acceptable. Finally, the network is trained with a penalized statistical entropy loss function. Simulation results show that compared to existing modulation recognition methods, the proposed DilNet dramatically reduces the model complexity. The dimensional interactive lightweight network trained by penalized statistical entropy also performs better for recognition accuracy in MIMO systems.

• Journal of Platform Technology
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• 제11권1호
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• pp.72-84
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• 2023

With the rise of the Internet of Things, the security of such lightweight computing environments has become a hot topic. Lightweight block ciphers that can provide efficient performance and security by having a relatively simpler structure and smaller key and block sizes are drawing attention. Due to these characteristics, they can become a target for new attack techniques. One of the new cryptanalytic attacks that have been attracting interest is Neural cryptanalysis, which is a cryptanalytic technique based on neural networks. It showed interesting results with better results than the conventional cryptanalysis method without a great amount of time and cryptographic knowledge. The first work that showed good results was carried out by Aron Gohr in CRYPTO'19, the attack was conducted on the lightweight block cipher SPECK-/32/64 and showed better results than conventional differential cryptanalysis. In this paper, we first apply the Differential Neural Distinguisher proposed by Aron Gohr to the block ciphers HIGHT and GOST to test the applicability of the attack to ciphers with different structures. The performance of the Differential Neural Distinguisher is then analyzed by replacing the neural network attack model with five different models (Multi-Layer Perceptron, AlexNet, ResNext, SE-ResNet, SE-ResNext). We then propose a Related-key Neural Distinguisher and apply it to the SPECK-/32/64, HIGHT, and GOST block ciphers. The proposed Related-key Neural Distinguisher was constructed using the relationship between keys, and this made it possible to distinguish more rounds than the differential distinguisher.

• 한국분무공학회지
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• 제25권4호
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• pp.188-195
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• 2020

To meet stringent emission regulations of automotive engines, fuel injection control techniques have advanced based on reliable and fast computing prediction models. This study aims to develop a reliable lightweight prediction model of fuel injection rates using a small number of input parameters and based on simple fluid dynamic theories. The prediction model uses the geometry of the injector nozzle, needle motion data, injection conditions and the fuel properties. A commercial diesel injector and US No. 2 diesel were used as the test injector and fuel, respectively. The needle motion data were measured using X-ray phase-contrast imaging technique under various fuel injection pressures and injection pulse durations. The actual injector rate profiles were measured using an injection rate meter for the validation of the model prediction results. In the case of long injection durations with the steady-state operation, the model prediction results showed over 99 % consistency with the measurement results. However, in the case of short injection cases with the transient operation, the prediction model overestimated the injection rate that needs to be further improved.

• 에너지공학
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• 제29권3호
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• pp.18-24
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• 2020

본 연구에서는 유한요소해석을 통해 대면적 표면처리가 가능한 경량 광폭 임펠러를 설계하였으며 구조적 안정성을 확인하였다. 먼저 위상최적화를 통해 경량 브라켓 해석모델을 수립하였으며, 구조해석을 통해 최적의 모델을 선정하였다. 3차원 경량 광폭 임펠러의 굽힘변형 해석을 수행하였으며 허용변형량 범위에 포함되었다. 또한 진동해석을 수행하여 1차 모드 고유진동수를 얻었으며 위험속도식에 대입하여 안전 운전속도(RPM) 기준을 제시하였다. 궁극적으로 본 연구의 해석적 기법이 경량 광폭 임펠러 설계에 유효함을 확인하였다.

• Structural Engineering and Mechanics
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• 제41권4호
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• pp.495-508
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• 2012

The strength theory of concrete is significant to structure design and nonlinear finite element analysis of concrete structures because concrete utilized in engineering is usually subject to the action of multi-axial stress. Experimental results have revealed that lightweight aggregate (LWA) concrete exhibits plastic flow plateau under high compressive stress and most of the lightweight aggregates are crushed at this stage. For the purpose of safety, therefore, in the practical application the strength of LWA concrete at the plastic flow plateau stage should be regarded as the ultimate strength under multi-axial compressive stress state. With consideration of the strength criterion, the ultimate strength surface of LWA concrete under multi-axial stress intersects with the hydrostatic stress axis at two different points, which is completely different from that of the normal weight concrete as that the ultimate strength surface is open-ended. As a result, the strength criteria aimed at normal weight concrete do not fit LWA concrete. In the present paper, a multi-axial strength criterion for LWA concrete is proposed based on the Unified Twin-Shear Strength (UTSS) theory developed by Prof Yu (Yu et al. 1992), which takes into account the above strength characteristics of LWA under high compressive stress level. In this strength criterion model, the tensile and compressive meridians as well as the ultimate strength envelopes in deviatoric plane under different hydrostatic stress are established just in terms of a few characteristic stress states, i.e., the uniaxial tensile strength $f_t$, the uniaxial compressive strength $f_c$, and the equibiaxial compressive $f_{bc}$. The developed model was confirmed to agree well with experimental data under different stress ratios of LWA concrete.

• 한국인터넷방송통신학회논문지
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• 제24권1호
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• pp.1-8
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• 2024

실시간 처리 및 프라이버시 강화를 위해 인공지능 모델을 엣지에서 동작시킬 수 있는 온디바이스 AI 기술이 각광받고 있다. 지능형 사물인터넷 기술이 다양한 산업에 적용되면서 온디바이스 AI 기술을 활용한 서비스가 크게 증가하고 있다. 그러나 일반적인 딥러닝 모델은 추론 및 학습을 위해 많은 연산 자원을 요구하고 있다. 따라서 엣지에 적용되는 경량 기기에서 딥러닝 모델을 동작시키기 위해 양자화나 가지치기와 같은 다양한 경량화 기법들이 적용되어야 한다. 본 논문에서는 다양한 경량화 기법 중 가지치기 기술을 중심으로 엣지 컴퓨팅 기기에서 딥러닝 모델을 경량화하여 적용할 수 있는 방안을 분석한다. 특히, 동적 및 정적 가지치기 기법을 적용하여 경량화된 비전 모델의 추론 속도, 정확도 그리고 메모리 사용량을 시험한다. 논문에서 분석된 내용은 실시간 특성이 중요한 지능형 영상 관제 시스템이나 자율 이동체의 영상 보안 시스템에 적용될 수 있다. 또한 사물인터넷 기술이 적용되는 다양한 서비스와 산업에 더욱 효과적으로 활용될 수 있을 것으로 기대된다.

• 대한기계학회논문집A
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• 제37권8호
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• pp.1015-1019
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• 2013

현재 전기자동차의 높은 에너지 효율 및 승차감을 모두 만족시키기 위해 경량 서스펜션 개발에 많은 초점이 맞추어 지고 있다. 개발되고 있는 경량 서스펜션중 rubber tube로 만들어진 에어서스펜션이 에너지효율 및 승차감을 만족시킨다고 평가 받고 있다. 본 논문에서는 높은 전장비의 특징을 가지는 전기자동차용 에어서스펜션을 개발하였다. 또한 실제 에어서스펜션의 성능 향상 연구를 위해 유연 다물체 동역학 모델(MFBD) 방법을 이용하여 모델링하였고, 에어서스펜션에서 중요한 역할을 하는 rubber tube의 경우는 FE기법을 통해 모델링 하였다. 에어서스펜션의 각 모듈 특성을 고려하여 모듈별 물성실험을 진행 및 물성치를 추정하였다. MFBD모델의 신뢰성 확인을 위해 물성치를 적용시킨 시뮬레이션 결과와 실제 실험결과를 비교하였다.

• Structural Engineering and Mechanics
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• 제58권2호
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• pp.277-300
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• 2016

Cold-formed steel (CFS) sections are becoming an increasingly popular solution for constructing floors in residential, healthcare and education buildings. Their reduced weight, however, makes them prone to excessive vibrations, increasing the need for accurate prediction of CFS floor modal properties. By combining experimental modal analysis of a full-scale CFS framed building and its floors and their numerical finite element (FE) modelling this paper demonstrates that the existing methods (based on the best engineering judgement) for predicting CFS floor modal properties are unreliable. They can yield over 40% difference between the predicted and measured natural frequencies for important modes of vibration. This is because the methods were adopted from other floor types (e.g., timber or standard steel-concrete composite floors) and do not take into account specific features of CFS floors. Using the adjusted and then updated FE model, featuring semi-rigid connections led to markedly improved results. The first four measured and calculated CFS floor natural frequencies matched exactly and all relevant modal assurance criterion (MAC) values were above 90%. The introduction of flexible supports and more realistic modelling of the floor boundary conditions, as well as non-structural $fa{\c{c}}ade$ walls, proved to be crucial in the development of the new more successful modelling strategy. The process used to develop 10 identified and experimentally verified FE modelling parameters is based on published information and parameter adjustment resulting from FE model updating. This can be utilised for future design of similar lightweight steel floors in prefabricated buildings when checking their vibration serviceability, likely to be their governing design criterion.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권3호
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• pp.1212-1228
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• 2016

Secure communication is an important aspect of today's interconnected environments and it can be achieved by the use of cryptographic algorithms and protocols. However, many existing cryptographic mechanisms are tightly integrated into communication protocols. Issues emerge when security vulnerabilities are discovered in cryptographic mechanisms because their replacement would eventually require replacing deployed protocols. The concept of cryptographic agility is the solution to these issues because it allows dynamic switching of cryptographic algorithms and keys prior to and during the communication. Most of today's secure protocols implement cryptographic agility (IPsec, SSL/TLS, SSH), but cryptographic agility mechanisms cannot be used in a standalone manner. In order to deal with the aforementioned limitations, we propose a lightweight cryptographically agile agreement model, which is formally verified. We also present a solution in the Agile Cryptographic Agreement Protocol (ACAP) that can be adapted on various network layers, architectures and devices. The proposed solution is able to provide existing and new communication protocols with secure communication prerequisites in a straightforward way without adding substantial communication overhead. Furthermore, it can be used between previously unknown parties in an opportunistic environment. The proposed model is formally verified, followed by a comprehensive discussion about security considerations. A prototype implementation of the proposed model is demonstrated and evaluated.

• 우주기술과 응용
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• 제3권1호
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• pp.44-57
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• 2023

상호 호혜적으로 진행되는 심우주 탐사 시장에서 우리나라와 같은 심우주 탐사의 후발주자가 심우주 탐사선진국과 빠르게 보조를 맞추기 위해서는 개발기간과 비용을 줄일 수 있는 표준 심우주 탐사선 모델 도출이 필수적이다. 본 논문에서는 다양한 심우주 탐사선에 요구되는 공통설계를 기반으로 하는 표준 심우주탐사선 기본형, 경량형, 및 확장형에 대한 개념 및 형상을 새롭게 제시하였다. 제시된 형상은 모듈화 설계를 바탕으로 하여 확장성 및 설계/구현 효율성을 높였다. 그리고, 표준 심우주 탐사선의 3가지 형태에 적용 가능한 경량화/확장성을 기반으로 하는 전기시스템 설계에 대해서도 기술하였다.