• Title/Summary/Keyword: Ultra-lightweight

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Effect of EAF dust on the formation of ultra lightweight aggregates by using bottom ash and dredged soil from coal power plant (인공경량골재의 EAF dust 첨가에 따른 초경량화에 관한 연구)

  • Choi, Yun-Jae;Kim, Yoo-Taek
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.21 no.3
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    • pp.129-135
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    • 2011
  • EAF dust from steel industry used as primary materials for the production of lightweight aggregates. Fe compounds in EAF dust plays an important role in the bloating reaction. This study was conducted to evaluate the feasibility of using bottom ash and dredged soil from coal power plant and EAF dust. The effect of different raw material compositions and sintering temperatures on the lightweight aggregate properties were evaluated. The characteristic of thermal bloating of bottom ash and dredged soil were mainly influenced by ferrous materials. The specific gravity of aggregate was decreased with the addition of EAF dust and kerosene was reduced sintering temperature on the bloating formation. Lightweight aggregate containing 10% EAF dust having apparent density under 1.0 g/$cm^3$ were produced at $1150{\sim}1200^{\circ}C$.

Comparative Evaluation Study with Axillary Crutch Design Variations (겨드랑이 목발의 디자인 비교 연구)

  • Yang, Sung Ho
    • Design Convergence Study
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    • v.15 no.6
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    • pp.243-253
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    • 2016
  • In this study, crutch and crutch gait for the handicapped in the lower extremity were discussed, and the study was conducted as a part of long-term research that suggests a practical solution for a crutch design. Three axillary crutches were evaluated in the study by a set of design guidelines for crutches delivered from the advanced research. In this comparative study with axillary crutch design variations, 31 healthy subjects were participated and three crutches were evaluated by ten guidelines. The result showed that Mobilegs-ultra and In-motion Pro were significantly greater than KM Crutch. However, no statistically significant difference was found between Mobilegs-ultra and In-motion Pro. While analyzing with guidelines, Mobilegs-ultra and In-motion Pro were significantly greater than KM Crutch for 6-guideline, but no significant difference was found among three crutches for the guidelines related with Lightweight and Economical feasibility and marketability. The result of the study is expected to be used for a solid foundation to evaluate for the reasonableness of the guidelines with comprehensive analysis for crutch gait evaluation in the further study.

Lightweight Design for Automotive Door Using Optimizations and Design of Experiments (최적화기법 및 실험계획 법을 이용한 자동차 도어의 경량화 설계)

  • 송세일;배금종;이권희;박경진
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.1
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    • pp.125-132
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    • 2002
  • Recently, ULSAB(Ultra Light Steel Auto Body) concept is getting more attention due to various benefits in automotive body design. One of the ULSAB efforts is making a door with TWB(Tailor Welded Blanks). In TWB, two or more patches of steel panels are welded together before stamping process. In this research, domains and thicknesses of the patches in a front door structure are determined by a series of optimization schemes composed of topology, size and shape optimization and DOE(Design of Experiments) scheme. A door is designed to have better performances compared to exiting structure considering static stiffness and natural frequency. The final design is discussed and compared to the existing design.

A Study on data transmission protocol with directional in Wireless Sensor Network (무선 센서 네트워크에서 방향성을 가진 데이터 전달 프로토콜에 관한 연구)

  • Kim, Tae-Hwan;Nam, Gu-Tae;Oh, Sei-Woong
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.296-301
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    • 2004
  • The Wireless Sensor Network is technology that makes possible utilize the information collected from rescue, the agricultural and livestock management system, and the home automation system by using an ultra-small sized, ultra-lightweight sensor module. This study proposes the routing protocol with directional nature that can improve the utilization by higher energy efficiency and reliability than those of existing studies on data transmission, and we also analyze the current studies, make a comparison of them in performance.

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Prototyping and Field Application of Light Emotion Friendly Concrete with Pattern Design (패턴 디자인이 적용된 LEFC 시제품 제작 및 현장적용)

  • Seo, Seung-Hoon;Kim, Soo-Yeon;Kim, Byoung-Il
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.203-204
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    • 2019
  • Recently, exposed concrete designs have been placed everywhere due to increased interest in indoor residential environments. In addition, in order to overcome the disadvantages of litracon, which was developed by mixing optical fiber, LEFC(Light Emotion Friendly Concrete) was developed in Korea, which improved unit price and constructivity by inserting hard acrylic rods. LEFC, using foaming agent and lightweight aggregate for light weighting, has disadvantages that decrease mechanical properties, and thus improved mechanical properties by using ultra-high performance concrete. Also, due to the characteristics of UHPC materials, it showed excellent self-consolidating performance. Considering these characteristics, a LEFC mold with pattern design was developed. The LEFC blocks were built so that pattern shapes could be seen and these were applied on-site to Sewoon plaza, located in Seoul.

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Analyses of Security and Privacy Issues in Ultra-weight RFID Protocol

  • Kim, Jung-Tae
    • Journal of information and communication convergence engineering
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    • v.9 no.4
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    • pp.441-446
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    • 2011
  • Radio frequency identification (RFID) tags are cheap and simple devices that can store unique identification information and perform simple computation to keep better inventory of packages. Security protocol for RFID tags is needed to ensure privacy and authentication between each tag and their reader. In order to accomplish this, in this paper, we analyzed a lightweight privacy and authentication protocol for passive RFID tags.

A Hardware Design of Ultra-Lightweight Block Cipher Algorithm PRESENT for IoT Applications (IoT 응용을 위한 초경량 블록 암호 알고리듬 PRESENT의 하드웨어 설계)

  • Cho, Wook-Lae;Kim, Ki-Bbeum;Shin, Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1296-1302
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    • 2016
  • A hardware implementation of ultra-lightweight block cipher algorithm PRESENT that was specified as a block cipher standard for lightweight cryptography ISO/IEC 29192-2 is described in this paper. Two types of crypto-core that support master key size of 80-bit are designed, one is for encryption-only function, and the other is for encryption and decryption functions. The designed PR80 crypto-cores implement the basic cipher mode of operation ECB (electronic code book), and it can process consecutive blocks of plaintext/ciphertext without reloading master key. The PR80 crypto-cores were designed in soft IP with Verilog HDL, and they were verified using Virtex5 FPGA device. The synthesis results using $0.18{\mu}m$ CMOS cell library show that the encryption-only core has 2,990 GE and the encryption/decryption core has 3,687 GE, so they are very suitable for IoT security applications requiring small gate count. The estimated maximum clock frequency is 500 MHz for the encryption-only core and 444 MHz for the encryption/decryption core.

The Hardware Design and Implementation of a New Ultra Lightweight Block Cipher (새로운 초경량 블록 암호의 하드웨어 설계 및 구현)

  • Gookyi Dennis, A.N.;Park, Seungyong;Ryoo, Kwangki
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.10
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    • pp.103-108
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    • 2016
  • With the growing trend of pervasive computing, (the idea that technology is moving beyond personal computers to everyday devices) there is a growing demand for lightweight ciphers to safeguard data in a network that is always available. For all block cipher applications, the AES is the preferred choice. However, devices used in pervasive computing have extremely constraint environment and as such the AES will not be suitable. In this paper we design and implement a new lightweight compact block cipher that takes advantage of both S-P network and the Feistel structure. The cipher uses the S-box of PRESENT algorithm and a key dependent one stage omega permutation network is used as the cipher's P-box. The cipher is implemented on iNEXT-V6 board equipped with virtex-6 FPGA. The design synthesized to 196 slices at 337 MHz maximum clock frequency.

Manufacturing of artificial lightweight aggregate from water treatment sludge and application to Non-point treatment filteration (정수슬러지를 재활용한 인공경량골재의 제조 및 비점오염원 여재의 적용)

  • Jung, Sung-Un;Lee, Seoung-Ho;Namgung, Hyun-Min
    • Industry Promotion Research
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    • v.6 no.4
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    • pp.1-9
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    • 2021
  • The purpose of this study is to manufacture lightweight aggregates for recycling water treatment sludge, to identify the physical properties of the aggregates, and present a method of utilizing the manufactured lightweight aggregates. The chemical composition and thermal properties were examined via a raw materials analysis. The aggregate examined here was fired by the rapid sintering method and the single-particle density and water absorption rate were measured. Water treatment sludge has high ignition loss and high fire resistance. When 30wt% of purified sludge was added, the single-particle density of the aggregates was in the range of 0.8~1.2g/cm3 at a temperature of 1,150~1,200℃. At temperatures of 1200℃ or higher, ultra-light aggregates having a single-particle density of 0.8 or less could be produced. When applied to concrete by replacing the general aggregate in the concrete, a specimen having strength values of 200 to 450 kgf/cm2 on 28 days was obtained, and when applied as a filter material, the performance was equal to or higher than that of ordinary sand.

Deep learning method for compressive strength prediction for lightweight concrete

  • Yaser A. Nanehkaran;Mohammad Azarafza;Tolga Pusatli;Masoud Hajialilue Bonab;Arash Esmatkhah Irani;Mehdi Kouhdarag;Junde Chen;Reza Derakhshani
    • Computers and Concrete
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    • v.32 no.3
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    • pp.327-337
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    • 2023
  • Concrete is the most widely used building material, with various types including high- and ultra-high-strength, reinforced, normal, and lightweight concretes. However, accurately predicting concrete properties is challenging due to the geotechnical design code's requirement for specific characteristics. To overcome this issue, researchers have turned to new technologies like machine learning to develop proper methodologies for concrete specification. In this study, we propose a highly accurate deep learning-based predictive model to investigate the compressive strength (UCS) of lightweight concrete with natural aggregates (pumice). Our model was implemented on a database containing 249 experimental records and revealed that water, cement, water-cement ratio, fine-coarse aggregate, aggregate substitution rate, fine aggregate replacement, and superplasticizer are the most influential covariates on UCS. To validate our model, we trained and tested it on random subsets of the database, and its performance was evaluated using a confusion matrix and receiver operating characteristic (ROC) overall accuracy. The proposed model was compared with widely known machine learning methods such as MLP, SVM, and DT classifiers to assess its capability. In addition, the model was tested on 25 laboratory UCS tests to evaluate its predictability. Our findings showed that the proposed model achieved the highest accuracy (accuracy=0.97, precision=0.97) and the lowest error rate with a high learning rate (R2=0.914), as confirmed by ROC (AUC=0.971), which is higher than other classifiers. Therefore, the proposed method demonstrates a high level of performance and capability for UCS predictions.