• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1993년도 가을 학술발표회 논문집
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• pp.220-225
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• 1993

This paper is an experimental study on shear capacity of the high strength lightweight reinforced concrete beams with shear-depth ratio between 1.5 and 2.5. Thirteen T & rectangular beams were tested to determine their diagonal cracking and ultimate shear capacity. The major variables are shear span-depth ratio (a/d=1.5, 2.0, 2.5), concrete compressive strength(f'c=210, 24., 270㎏/㎠) and tensile steel ratio( =0.6, 1.2%). Based on results obtained from experiment of high strength lightweight reinforced concrete Beam & normal concrete, the following conclusions were drawn. (1) The shear capacity of high-strength lightweight concrete is less 15% than that of normal concrete under same condition. (2) As the results of Comparing this experimental datas with other various formulas. It is regarded that ACI 318-89 shear strength formula related tensile strength is proper to design formula of shear strength of high-strength lightweight reinforced concrete using lightweight concrete.

• 콘크리트학회논문집
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• 제21권6호
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• pp.745-752
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• 2009

이 논문에서는 과산화수소를 사용한 경량기포콘크리트의 최적배합비를 제안하고 있다. 최적배합을 도출하기 위해 상용프로그램인 MINITAB을 사용하여 실험계획법을 적용하였다. 통계적 분석방법은 반응표면분석법 중 하나인 Box Behnken(B-B)계획법으로 하였다. 실험시 고려한 영향인자로는 단위시멘트량, 물시멘트비, 과산화수소비를 설정하였다. 분산분석에 따르면 경화상태에서 경량기포콘크리트의 물시멘트비와 과산화수소비는 절건밀도, 압축강도, 휨강도에 유의차가 있고, 단위시멘트량은 절건밀도에만 유의차가 있는 것으로 나타났다. 반응표면분석의 결과에서 과산화수소를 사용한 경량기포콘크리트의 최적배합비는 단위시멘트량 800 kg/$m^3$, 물시멘트비 44.33%, 과산화수소비 10%로 도출되었다.

• 대한기계학회논문집A
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• 제34권3호
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• pp.353-359
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• 2010

최근 환경문제로 인한 차량의 연료절감이 중요해지면서 수송산업에서도 대형 수송기계의 경량설계에 대한 필요성이 지속적으로 커지고 있다. 본 연구에서는, 고강도강으로 대체된 대형 평판 트레일러 프레임의 경량모델을 개발하기 위하여 구조해석을 수행하였다. 이를 위하여, 트레일러 프레임의 주요 설계변수들을 선정하고 다구찌 기법을 적용하여 응력, 처짐량 그리고 비틀림 강성에 대하여 최적화된 결과를 도출하였다. 또한, 도출된 경량설계안의 타당성을 검토하기 위하여 시작품을 제작하여 실제 내구시험을 수행하였다.

• 한국기계가공학회지
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• 제21권1호
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• pp.102-110
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• 2022

This paper proposes a solution to the problems of manufacturing cost and processability by applying discrete material and thickness optimization (DMTO) and minimizing the use of high-strength, lightweight materials in the optimization process. A simple infant pop-up seat model was selected as the application target, and the weight reduction effect and variation in strength according to the optimization results were observed. In this study, a simplified finite element model of an infant pop-up seat frame was first constructed. The model was used to perform a static structural analysis to verify the weight and strength of each part. The D-optimal design of the experimental method was then used to observe the influence of each part on the weight and strength. This process was applied using discrete thickness optimization (DTO) (which applies high-strength, lightweight materials and optimizes only the thickness) and DMTO (which considers both the material and thickness). The DTO and DMTO results were compared to verify the design method that determines the major parts and simultaneously considers the material and thickness. Accordingly, in this study, an optimal lightweight design that satisfied the strength standards of the seat frame was derived. Furthermore, discretization parameters were used to minimize the application of high-strength, lightweight materials.

• 한국컴퓨터정보학회논문지
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• 제28권10호
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• pp.17-25
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• 2023

본 논문에서는 의류 디자인 도면 이미지의 글자 검출을 위한 경량화된 딥러닝 네트워크를 제안하였다. 최근 의류 디자인 산업에서 Digital Transformation의 중요성이 대두되면서, 디지털 도구를 활용한 의류 디자인 도면 작성이 강조되고 있으며, 디지털화된 의류 디자인 도면의 활용 가능성을 고려할 때, 도면에서 글자 검출과 인식이 중요한 첫 단계로 간주된다. 이 연구에서는 기존의 글자 검출 딥러닝 모델을 기반으로 의류 도면 이미지의 특수성을 고려하여 경량화된 네트워크를 설계하였으며, 별도로 수집한 의류 도면 데이터 셋을 추가하여 딥러닝 모델을 학습시켰다. 실험 결과, 제안한 딥러닝 모델은 의류 도면 이미지에서 기존 글자 검출 모델보다 약 20% 높은 성능을 보였다. 따라서 이 논문은 딥러닝 모델의 최적화와 특수한 글자 정보 검출 등의 연구를 통해 의류 디자인 분야에서의 Digital Transformation에 기여할 것으로 기대한다.

• 산업경영시스템학회지
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• 제46권1호
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• pp.55-67
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• 2023

Lightweight face recognition models, as one of the most popular and long-standing topics in the field of computer vision, has achieved vigorous development and has been widely used in many real-world applications due to fewer number of parameters, lower floating-point operations, and smaller model size. However, few surveys reviewed lightweight models and reimplemented these lightweight models by using the same calculating resource and training dataset. In this survey article, we present a comprehensive review about the recent research advances on the end-to-end efficient lightweight face recognition models and reimplement several of the most popular models. To start with, we introduce the overview of face recognition with lightweight models. Then, based on the construction of models, we categorize the lightweight models into: (1) artificially designing lightweight FR models, (2) pruned models to face recognition, (3) efficient automatic neural network architecture design based on neural architecture searching, (4) Knowledge distillation and (5) low-rank decomposition. As an example, we also introduce the SqueezeFaceNet and EfficientFaceNet by pruning SqueezeNet and EfficientNet. Additionally, we reimplement and present a detailed performance comparison of different lightweight models on the nine different test benchmarks. At last, the challenges and future works are provided. There are three main contributions in our survey: firstly, the categorized lightweight models can be conveniently identified so that we can explore new lightweight models for face recognition; secondly, the comprehensive performance comparisons are carried out so that ones can choose models when a state-of-the-art end-to-end face recognition system is deployed on mobile devices; thirdly, the challenges and future trends are stated to inspire our future works.

• Computers and Concrete
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• 제10권2호
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• pp.95-104
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• 2012

This study uses recycled green building materials based on a Taiwan-made recycled mineral admixture (including fly ash, slag, glass sand and rubber powder) as replacements for fine aggregates in concrete and tests the properties of the resulting mixtures. Fine aggregate contents of 5% and 10% were replaced by waste LCD glass sand and waste tire rubber powder, respectively. According to ACI concrete-mixture design, the above materials were mixed into lightweight aggregate concrete at a constant water-to-binder ratio (W/B = 0.4). Hardening (mechanical), non-destructive and durability tests were then performed at curing ages of 7, 28, 56 and 91 days and the engineering properties were studied. The results of these experiments showed that, although they vary with the type of recycling green building material added, the slumps of these admixtures meet design requirements. Lightweight aggregate yields better hardened properties than normal-weight concrete, indicating that green building materials can be successfully applied in lightweight aggregate concrete, enabling an increase in the use of green building materials, the improved utilization of waste resources, and environmental protection. In addition to representing an important part of a "sustainable cycle of development", green building materials represent a beneficial reutilization of waste resources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권1호
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• pp.97-119
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• 2023

The number of industrial Internet of Things (IoT) users is increasing rapidly. Lightweight block ciphers have started to be used to protect the privacy of users. Hardware-oriented security design should fully consider the use of fewer hardware devices when the function is fully realized. Thus, this paper designs a lightweight block cipher IIoTBC for industrial IoT security. IIoTBC system structure is variable and flexibly adapts to nodes with different security requirements. This paper proposes a 4×4 S-box that achieves a good balance between area overhead and cryptographic properties. In addition, this paper proposes a preprocessing method for 4×4 S-box logic gate expressions, which makes it easier to obtain better area, running time, and power data in ASIC implementation. Applying it to 14 classic lightweight block cipher S-boxes, the results show that is feasible. A series of performance tests and security evaluations were performed on the IIoTBC. As shown by experiments and data comparisons, IIoTBC is compact and secure in industrial IoT sensor nodes. Finally, IIoTBC has been implemented on a temperature state acquisition platform to simulate encrypted transmission of temperature in an industrial environment.

• 한국재난정보학회 논문집
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• 제8권3호
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• pp.204-212
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• 2012

경량혼합토는 건설잔토나 준설토 및 현장에서 발생하는 점토나 실트질 흙을 사토처리 하지않고 현장에서 유용할 수 있는 매우 경제적이고 환경친화적인 재료이다. 최근에는 페자원(폐타이어가루, 왕겨)을 경량혼합토에 첨가하는 건설재료 재활용에 관한 연구가 진행 중에 있다. 본 연구에서는 경량혼합토를 제작하기 위해 필요한 배합설계변수인 원료토의 중량, 함수비 및 기포재와 첨가할 물의 양, 그리고 강도를 발현하기 위하여 필요한 고화재로서 시멘트첨가량에 대한 최적의 배합설계에 대한 분석을 하였다. 이를 위하여 일축압축시험에 의한 응력-변형 거동과 양생기간 및 성분비에 따른 강도분석, 폐기물 성분비에 대한 실험강도 비교분석을 수행하였다. 마지막으로, 합리적이고 경제적인 배합비 산출을 위하여 경량혼합토의 목표강도를 결정하고 최적의 배합설계 변수를 제시하였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2004년도 추계 학술발표회 제16권2호
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• pp.747-750
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• 2004

Lightweight concrete is known for its advantage of reducing the self-weight of the structures, reducing the areas of sectional members as well as making the construction convenient. Thus the construction cost can be saved when applied. to . structures such as long-span bridge and high rise buildings. However, the lightweight concrete requires specific design mix method that is quite different from the typical concrete, since using the typical mix method would give rise the material segregation as well as lower the strength by the reduced weight of the aggregate. In order to avoid such problems, it is recommended to apply the design mix method of high performance self-compacting concrete for the lightweight concrete. Therefore, this study introduces a production of self-compacting concrete, PF-modified and improved version of Nan-Su's design mix method of self-compacting concrete. Through a series of test mixes conducted during the study, the quality of the concrete at its fresh condition has been evaluated per the 2nd class rating standards of self-compacting concrete published by JSCE, especially focused in its fluidity, segregation resistance ability, and filling ability.