• Title/Summary/Keyword: soft handling

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Microcontact Printing of Bacteria Using Hybrid Agarose Gel Stamp (혼성 아가로즈젤 스탬프를 이용한 박테리아 마이크로 컨택트 프린팅)

  • Shim, Hyun-Woo;Lee, Ji-Hye;Lee, Chang-Soo
    • KSBB Journal
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    • v.21 no.4
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    • pp.273-278
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    • 2006
  • The noble method of hybrid agarose gel microstamp fabricated by replica molding against PDMS master to make bacteria patterns on agar surface was presented. After the fabricated hybrid agarose gel microstamp was inked with E. coli, we could obtain 2 dimensional bacterial arrays with $50{\mu}m$ circular spots. And the various shaped patterns based on experimental design were easily generated. The analysis of mean fluorescent signal was showed that bacterial pattern have high contrast between spots and background and homogeneity of pattern. Our proposed method solved the problem of wetting and handling with small soft agarose gel microstamp when bacteria were used for ink. The agarose gel stamp provides appropriate environment to inked bacteria, which is essential technology for cell patterning with high retaining viability during the patterning process. This method is reproducible, convenient, rapid, and could be applied to screening system, study of cell-surface interaction, and microbial ecology.

A Study on the Optical Properties of the Filament Yarn Weft Knit Fabrics and the 3-dimensional Model (필라멘트로 구성(構成)된 위편성물(緯編成物)및 모델의 광학적(光學的) 특성(特性)에 관(關)한 연구(硏究))

  • Shin, Hye-Sun;Kim, Jong-Jun;Jeon, Dong-Won
    • Journal of Fashion Business
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    • v.6 no.5
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    • pp.1-11
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    • 2002
  • Today, great percentage of apparel fabrics comprise knit products. A few apparel items are almost exclusively made from knit products including sweaters, T-shirts, lingerie, and hosiery. In weft knits, intermeshing yarn traverses the fabric crosswise. The production rate of knitting machines is about four times higher than that of conventional looms iin proportion to the amount of fabric produced per unit time. Knit apparels fabrics are noted for freedom of body movement, easy-care, resilience, soft draping and quality. The appearance of fabrics is of prime importance along with tactile features such as smoothness, crispness, stiffness when we deal with the handling evaluation of the textiles. In practice, the quality and performance of fabrics judged by sighted evaluators, and it is perhaps logical, in attempting to establish an effective fabric objective measurement system. It is worthwhile to make objective measurement that correlate well with subjective evaluations made by sight and touch together. However, it often imposes difficulties to effectively measure and analyze the appearance or optical properties of the textile surface features. In this study, an attempt is made to provide a preliminary approach to the analysis of the gloss property, which is one of the optical properties of fabrics. The specimens range from 70/24 nylon 6 filament yarn knit fabric to 70/68 nylon 6 filament yarn knit fabric, the latter being finer. A few three-dimensional models based on Peirce's model of knit stitch have been proposed and material properties were given to calculate the properties. Goniophotometric measurements of the specimens were also carried out.

Dynamic Masterplan of the Saemangeum Grain Complex for Progressive Development (점진적 개발 단계를 고려한 새만금 복합곡물단지의 동태적 마스터플랜 수립)

  • Jung, Chanhoon;Kim, Chanwoo;Kim, Solhee;Park, Jinseon;Seo, Donguk;Suh, Kyo
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.4
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    • pp.1-13
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    • 2018
  • The grain complex of Saemangeum is created for promoting the foundation of agriculture combined the global competitiveness. However, the masterplan is being also revised with changing of local conditions and social needs. Thus, the dynamic masterplan is needed to consider the change of time for Saemangeum project. The present study was made to set up the dynamic masterplan of Saemangeum grain complex for handling the change such as project progress, local environment, and project conditions flexibly. In this study, the dynamic masterplan for the progressive development of water supply, farmland composition, and introduction facilities is presented to the 6-2 zone in three stages. We believed that the water supply would be possible through the pumping and desalination facilities with the development stages. The farmland composition proceeded for each complex with reclamation, soil preparation, and soft soil processing. And it is planned to carry out crop cultivation from the complex where the construction is completed first. The introduction facilities were analyzed focusing on the silos and forage loading facilities, and the optimal location of them was selected using road and accessibility. The concept of dynamic masterplan may provide the direction for the planning and progress of reclamation project.

An Integrated File System for Guaranteeing the Quality of Service of Multimedia Stream (멀티미디어 스트림의 QoS를 보장하는 통합형 파일시스템)

  • 김태석;박경민;최정완;김두한;원유집;고건;박승민;김정기
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.9
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    • pp.527-535
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    • 2004
  • Handling mixed workload in digital set-top box or streaming server becomes an important issue as integrated file system gets momentum as the choice for the next generation file system. The next generation file system is required to handle real-time audio/video playback while being able to handle text requests such as web page, image file, etc. Legacy file system provides only best effort I/O service and thus cannot properly support the QoS of soft real-time I/O. In this paper, we would like to present our experience in developing the file system which fan guarantee the QoS of multimedia stream. We classify all application I/O requests into two category: periodic I/O and sporadic I/O. The QoS requirement of multimedia stream could be guaranteed by giving a higher priority to periodic requests than sporadic requests. The proto-type file system(Qosfs) is developed on Linux Operating System.

Isolation and Identification of Postharvest Spoilage Fungi from Mulberry Fruit in Korea

  • Kwon, O-Chul;Ju, Wan-Taek;Kim, Hyun-Bok;Sung, Gyoo-Byung;Kim, Yong-Soon
    • Korean Journal of Environmental Agriculture
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    • v.37 no.3
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    • pp.221-228
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    • 2018
  • BACKGROUND: Spoilage fungi can reduce the shelf life of fresh fruits and cause economic losses by lowering quality. Especially, mulberry fruits have high sensitivity to fungal attack due to their high water content (> 70%) and soft texture. In addition, the surface of these fruits is prone to damage during harvesting and postharvest handling. However, any study on postharvest spoilage fungi in mulberry fruit has not been reported in Korea. This study aimed to examine the spoilage fungi occurring in mulberry fruits during storage after harvest. METHODS AND RESULTS: In this study, we isolated postharvest spoilage fungi from mulberry fruits stored in refrigerator (fresh fruits) and deep-freezer (frozen fruits) and identified them. In the phylogenetic analysis based on comparisons of the ITS rDNA sequences, the 18 spoilage fungi isolated from mulberry fruits and the 25 reference sequences were largely divided into seven groups that were subsequently verified by high bootstrap analysis of 73 to 100. Alternaria spp. including A. alternate and A. tenuissima, were the most frequently isolated fungi among the spoilage isolates: its occurrence was the highest among the 18 isolates (38.9%). CONCLUSION: The findings of this study will be helpful for increasing the shelf life of mulberry fruits through the application of appropriate control measures against infection by spoilage fungi during storage.

K-Trade : Data-driven Digital Trade Framework (K-Trade : 데이터 주도형 디지털 무역 프레임워크)

  • Kim, Chaemee;Loh, Woong-Kee
    • Journal of Information Technology Services
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    • v.19 no.6
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    • pp.177-189
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    • 2020
  • The OECD has assessed Korea as the third highest in trade facilitation worldwide. The paperless trade of Korea is world class based on uTradeHub : national e-trade service's infrastructure for trade community. Over 800 trade-related document standards provide interoperability of message exchange and trade process automation among exporters, importers, banks, customs, airlines, shippers, forwarders and trade authorities. Most one-to-one unit processes are perfectly paperless & online; however, from the perspective of process flow, there is a lack of streamlining end-to-end trade processes spread over many different parties. This situation causes the trade community to endure repetitive-redundant load for handling trade documents. The trade community has a strong demand for seamless trade flow. For streamlining the trade process, processes with data should flow seamlessly to multilateral parties. Flowing data with an optimized process is the critical success factor to accomplish seamless trade. This study proposes four critical digital trade infrastructures as a platform service : (1) data-centric Intelligent Document Recognition(IDR), (2) data-driven Digital Document Flow (DDF), (3) platform based Digital Collaboration & Communication(DCC), and (4) new digital Trade Facilitation Index (dTFI) for precise assessment of K-Trade Digital Trade Framework. The results of new dTFI analyses showed that redundant reentry load was reduced significantly over the whole trade and logistics process. This study leads to the belief that if put into real-world application can provide huge economic gains by building a new global value chain of the K-trade eco network. A new digital trade framework will be invaluable in promoting national soft power for enhancing global competitiveness of the trade community. It could become the advanced reference model of next trade facilitation infrastructure for developing countries.

A Cadaveric Study of Thread Cubital Tunnel Release with Newly Developed Threads

  • Kang, Minsuk;Nam, Yong Seok;Kim, In Jong;Park, Hae-Yeon;Ham, Jung Ryul;Kim, Jae Min
    • Journal of Korean Neurosurgical Society
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    • v.65 no.2
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    • pp.307-314
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    • 2022
  • Objective : The percutaneous thread transection technique is a surgical dissecting method using a dissecting thread inserted through a needle under ultrasound guidance without skin incision. As the new dissecting threads were developed domestically, this cadaver study was conducted to compare the effectiveness and safety between the new threads (ultra V sswire and smartwire-01) and a pre-existing commercial dissecting thread (loop & shear) by demonstrating a modified looped thread cubital tunnel release. Methods : The percutaneous cubital tunnel release procedure was performed on 29 fresh cadaveric upper extremities. The pre-existing commercial thread was used in 5 upper extremities. The two newly developed threads were used in 24 upper extremities. Two practitioners performed the procedures separately. After the modified looped thread cubital release, anatomical and histological analyses were performed by a blinded anatomist. The presence of the dissected cubital tunnel and damaged adjacent soft tissue was assessed. Results : Out of the 29 cadaveric upper extremities, 27 specimens showed complete dissection of the Osborne ligament and the proximal fascia of the flexor carpi ulnaris muscle. One specimen was incompletely dissected in each of the ultra V sswire and smartwire-01 groups. There were no injuries of adjacent structures including the ulnar nerve, ulnar artery, medial antebrachial cutaneous nerve, or flexor tendon with either the commercial thread or the newly developed threads. The anatomical analysis revealed clear and sharp incisional margins of the cubital tunnel in the Smartwire-01 and loop & shear groups. All three kinds of threads maintained proper linear elasticity for easy handling during the procedure. The smartwire-01 provided higher visibility in ultrasound than the other threads. Conclusion : The newly developed threads were effective and safe for use in the thread cubital tunnel release procedure.

A GMDH-based estimation model for axial load capacity of GFRP-RC circular columns

  • Mohammed Berradia;El Hadj Meziane;Ali Raza;Mohamed Hechmi El Ouni;Faisal Shabbir
    • Steel and Composite Structures
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    • v.49 no.2
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    • pp.161-180
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    • 2023
  • In the previous research, the axial compressive capacity models for the glass fiber-reinforced polymer (GFRP)-reinforced circular concrete compression elements restrained with GFRP helix were put forward based on small and noisy datasets by considering a limited number of parameters portraying less accuracy. Consequently, it is important to recommend an accurate model based on a refined and large testing dataset that considers various parameters of such components. The core objective and novelty of the current research is to suggest a deep learning model for the axial compressive capacity of GFRP-reinforced circular concrete columns restrained with a GFRP helix utilizing various parameters of a large experimental dataset to give the maximum precision of the estimates. To achieve this aim, a test dataset of 61 GFRP-reinforced circular concrete columns restrained with a GFRP helix has been created from prior studies. An assessment of 15 diverse theoretical models is carried out utilizing different statistical coefficients over the created dataset. A novel model utilizing the group method of data handling (GMDH) has been put forward. The recommended model depicted good effectiveness over the created dataset by assuming the axial involvement of GFRP main bars and the confining effectiveness of transverse GFRP helix and depicted the maximum precision with MAE = 195.67, RMSE = 255.41, and R2 = 0.94 as associated with the previously recommended equations. The GMDH model also depicted good effectiveness for the normal distribution of estimates with only a 2.5% discrepancy from unity. The recommended model can accurately calculate the axial compressive capacity of FRP-reinforced concrete compression elements that can be considered for further analysis and design of such components in the field of structural engineering.

Design Factor Analysis of End-Effector for Oriental Melon Harvesting Robot in Greenhouse Cultivation (시설재배 참외 수확 로봇용 엔드이펙터의 설계 요인 분석)

  • Ha, Yu Shin;Kim, Tae Wook
    • Journal of Bio-Environment Control
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    • v.22 no.3
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    • pp.284-290
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    • 2013
  • This study analyzed the geometric, compressive, cutting and friction properties of oriental melons in order to design a gripper capable of soft handling and a cutter for cutting oriental melon vine among the end effector of oriental melon as a preliminary step for developing the end effector of the robot capable of harvesting oriental melons in protected cultivation. As a result, the average length, diameter at the midpoint, weight, volume and roundness of the oriental melons were 108 mm, 70 mm, 188 g, 333 mL and 3.8 mm. Nonlinear regression analysis was performed on the equation $W=L^a{\times}D_2^b$ with variation of the length (L) and diameter (D2) of the weight (W) of the oriental melons. As a result, it was shown that there was a correlation between a of 2.0279 and b of -0.9998 as a constant value. The average diameter of the oriental melon vine was 3.8 mm, and most vines were distributed within a radius of 5 mm from the center. The average yield value, compressive strength and hardness of the oriental melons were $36.5N/cm^2$, $185.7N/cm^2$ and $636.7N/cm^2$, respectively. The average cutting force and shear strength of the oriental melon vines were $2.87{\times}10^{-2}\;N$ and $5.60N/cm^2$, respectively. The maximum friction coefficient of the oriental melons was rubber of 0.609, followed by aluminium of 0.393, stainless steel of 0.177 and teflon of 0.079. It was considered possible to apply it to the size of the gripper and cutter, turning radius, dynamics of drive motor and selection of materials and their quality in light of the position error and safety factor according to the movement when designing end effector based on the analyzed data.

Principal Discriminant Variate (PDV) Method for Classification of Multicollinear Data: Application to Diagnosis of Mastitic Cows Using Near-Infrared Spectra of Plasma Samples

  • Jiang, Jian-Hui;Tsenkova, Roumiana;Yu, Ru-Qin;Ozaki, Yukihiro
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1244-1244
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    • 2001
  • In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from mastitic and healthy cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from mastitic and healthy cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA and FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference, thereby providing a useful means for spectroscopy-based clinic applications.

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