• Title/Summary/Keyword: subtractive

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Comparison of Operating Characteristics between Flux-lock Type and Resistive Type Superconducting Fault Current Limiters (자속구속형과 저항형 초전도 전류제한기의 특성비교)

  • Park, Hyoung-Min;Lim, Sung-Hun;Park, Chung-Ryul;Chol, Hyo-Sang;Han, Byoung-Sung
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.18 no.4
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    • pp.363-369
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    • 2005
  • we compared the operating characteristics between flux-lock type and resistive type superconducting fault current limiters(SFCLs). Flux-lock type SFCL consists of two coils, which are wound in parallel each other through an iron core, and a high-Tc superconducting(HTSC) element is connected with coil 2 in series. The the flux-lock type SFCL can be divided into the subtractive polarity winding and the additive polarity winding operations according to the winding directions between the coil 1 and coil 2. It was confirmed from experiments that flux-lock type SFCL could improve both the quench characteristics and the transport capacity compared to the resistive type SFCL, which means, the independent operation of HTSC element.

Properties of Inkjet and Screen Printed Circuits with Substrate Treatments

  • Lee, Min-Su;Kim, Yong-Uk;Kim, Yeong-Hun;Yu, Ui-Deok
    • Proceedings of the Materials Research Society of Korea Conference
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    • 2011.05a
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    • pp.4.1-4.1
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    • 2011
  • Recently, circuit printing technology has been considered as a promising alternative to conventional PCB fabrication, for it can greatly reduce the manufacturing costs. Even though printed circuit has many advantages over typical subtractive technology such as fewer processes, it has some disadvantages. The major problems are low adhesion and poor resolution. Efforts to overcome these problems have been mainly focused on ink developments with a limited success. And surface treatments showed some improvements. Therefore, various plasma treatments and primer coatings on plastic substrates have been tested. Plasma treatments using hydrocarbon gases including methane and propane improved the pattern quality of the inkjet printed circuit, which are further improved upon heating of substrate. On the other hand, there is little effect on the adhesion, which is improved only by a special primer coating. The adhesion of inkjet printed circuit has been increased more than 10 times upon treatment. As for the screen printed circuits, the overall effects are less significant since there is some organic binder in the ink. Nonetheless, the treatment has strong positive effects on pattern quality and adhesion. The adhesion of 1 kgf/cm2, which is comparable with those of the conventional PCB circuits, is possible through primer coating for both screen and inkjet printed circuits. The resulting circuit also showed good thermal, mechanical and electrical properties.

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PREDICTION OF THE REACTOR VESSEL WATER LEVEL USING FUZZY NEURAL NETWORKS IN SEVERE ACCIDENT CIRCUMSTANCES OF NPPS

  • Park, Soon Ho;Kim, Dae Seop;Kim, Jae Hwan;Na, Man Gyun
    • Nuclear Engineering and Technology
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    • v.46 no.3
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    • pp.373-380
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    • 2014
  • Safety-related parameters are very important for confirming the status of a nuclear power plant. In particular, the reactor vessel water level has a direct impact on the safety fortress by confirming reactor core cooling. In this study, the reactor vessel water level under the condition of a severe accident, where the water level could not be measured, was predicted using a fuzzy neural network (FNN). The prediction model was developed using training data, and validated using independent test data. The data was generated from simulations of the optimized power reactor 1000 (OPR1000) using MAAP4 code. The informative data for training the FNN model was selected using the subtractive clustering method. The prediction performance of the reactor vessel water level was quite satisfactory, but a few large errors were occasionally observed. To check the effect of instrument errors, the prediction model was verified using data containing artificially added errors. The developed FNN model was sufficiently accurate to be used to predict the reactor vessel water level in severe accident situations where the integrity of the reactor vessel water level sensor is compromised. Furthermore, if the developed FNN model can be optimized using a variety of data, it should be possible to predict the reactor vessel water level precisely.

Holographic Data Storage System using prearranged plan table by fuzzy rule and Genetic algorithm

  • Kim, Jang-Hyun;Kim, Sang-Hoon;Yang, Hyun-Seok;Park, Jin-Bae;Park, Young-Pil
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1260-1263
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    • 2005
  • Data storage related with writing and retrieving requires high storage capacity, fast transfer rate and less access time. Today any data storage system cannot satisfy these conditions, however holographic data storage system can perform faster data transfer rate because it is a page oriented memory system using volume hologram in writing and retrieving data. System can be constructed without mechanical actuating part therefore fast data transfer rate and high storage capacity about 1Tb/cm3 can be realized. In this research, to reduce errors of binary data stored in holographic data storage system, a new method for bit error reduction is suggested. First, find fuzzy rule using experimental system for Element of Holographic Digital Data System. Second, make fuzzy rule table using Genetic algorithm. Third, reduce prior error element and recording Digital Data. Recording ratio and reconstruction ratio will be very good performance

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Energy Efficiency Maximization for Energy Harvesting Bidirectional Cooperative Sensor Networks with AF Mode

  • Xu, Siyang;Song, Xin;Xia, Lin;Xie, Zhigang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.6
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    • pp.2686-2708
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    • 2020
  • This paper investigates the energy efficiency of energy harvesting (EH) bidirectional cooperative sensor networks, in which the considered system model enables the uplink information transmission from the sensor (SN) to access point (AP) and the energy supply for the amplify-and-forward (AF) relay and SN using power-splitting (PS) or time-switching (TS) protocol. Considering the minimum EH activation constraint and quality of service (QoS) requirement, energy efficiency is maximized by jointly optimizing the resource division ratio and transmission power. To cope with the non-convexity of the optimizations, we propose the low complexity iterative algorithm based on fractional programming and alternative search method (FAS). The key idea of the proposed algorithm first transforms the objective function into the parameterized polynomial subtractive form. Then we decompose the optimization into two convex sub-problems, which can be solved by conventional convex programming. Simulation results validate that the proposed schemes have better output performance and the iterative algorithm has a fast convergence rate.

Differential expression of soybean SLTI100 gene encoding translation elongation factor 1A by abiotic stresses

  • Chung, Eun-Sook;Cho, Chang-Woo;So, Hyun-A;Yun, Bo-Hyun;Lee, Jai-Heon
    • Journal of Plant Biotechnology
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    • v.36 no.3
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    • pp.255-260
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    • 2009
  • The translation elongation factor 1A, eEF1A, catalyzes the binding of aminoacyl-tRNA to the A-site of the ribosome by a GTP-dependent mechanism. By subtractive suppression hybridization technique, we have isolated a soybean low-temperature inducible gene, SLTI100 encoding translation elongation factor 1A. Multiple sequence alignments and phylogenic analysis showed that SLTI100 and other eEF1As originated from diverse organisms are highly conserved. RNA expression of SLTI100 was specifically induced by low temperature, high salt, ABA, or drought stress. Based on the subcellular localization of the corresponding gene product fused to GFP, we were able to confirm that SLTI100-GFP was restricted to the nucleus and cytoplasm. We propose that soybean eEF1A may play an important role in translational regulation during abiotic stress responses in plants.

Construction and Differential Screening of a cDNA Library Specific to Osmotic Stress of Haloxylon ammodendron Seedlings

  • Jiang, Xiao-Cheng;Guo, Xin-Hong;Pan, Xiao-Ling;Song, Song-Quan
    • BMB Reports
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    • v.37 no.5
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    • pp.527-532
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    • 2004
  • A subtracted cDNA library specific to osmotic stress of Haloxylon ammodendron (Mey.) Bge seedlings was constructed by suppression subtractive hybridization (SSH) and T/A cloning. SSH was performed between two groups of H. ammodendron seedlings, one was cultivated in Hoagland (H) solution as a driver and the other group was treated with osmotic stress of the Hoagland solution by the addition of 400 mM mannitol (M), as a tester. The library consisted of about 400 recombinant clones, with the average size being of 500 bp, ranging from 300 bp to 1500 bp. Using a PCR-select differential screening kit, 100 recombinant clones were randomly chosen from the subtracted cDNA library and hybridized with forward,reverse subtracted and unsubtracted probes for two rounds. As a result, 21 positive clones specific to osmotic stress were obtained and some of them were verified by Northern blot analysis. The sequencing analysis of 6 positive clones and the following homology comparison to GenBank [blastx] non-redundant databases characterized that two sequences obtained in this experiment may contribute to novel drought-related genes.

Technology Trend of the additive Manufacturing (AM) (적층식 제조(Additive manufacturing) 기술동향)

  • Oh, Ji-Won;Na, Hyunwoong;Choi, Hanshin
    • Journal of Powder Materials
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    • v.24 no.6
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    • pp.494-507
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    • 2017
  • A three-dimensional physical part can be fabricated from a three-dimensional digital model in a layer-wise manner via additive manufacturing (AM) technology, which is different from the conventional subtractive manufacturing technology. Numerous studies have been conducted to take advantage of the AM opportunities to penetrate bespoke custom product markets, functional engineering part markets, volatile low-volume markets, and spare part markets. Nevertheless, materials issues, machines issues, product issues, and qualification/certification issues still prevent the AM technology from being extensively adopted in industries. The present study briefly reviews the standard classification, technological structures, industrial applications, technological advances, and qualification/certification activities of the AM technology. The economics, productivity, quality, and reliability of the AM technology should be further improved to pass through the technology adoption lifecycle of innovation technology. The AM technology is continuously evolving through the introduction of PM materials, hybridization of AM and conventional manufacturing technologies, adoption of process diagnostics and control systems, and enhanced standardization of the whole lifecycle qualification and certification methodology.

Chemogenomics Profiling of Drug Targets of Peptidoglycan Biosynthesis Pathway in Leptospira interrogans by Virtual Screening Approaches

  • Bhattacharjee, Biplab;Simon, Rose Mary;Gangadharaiah, Chaithra;Karunakar, Prashantha
    • Journal of Microbiology and Biotechnology
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    • v.23 no.6
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    • pp.779-784
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    • 2013
  • Leptospirosis is a worldwide zoonosis of global concern caused by Leptospira interrogans. The availability of ligand libraries has facilitated the search for novel drug targets using chemogenomics approaches, compared with the traditional method of drug discovery, which is time consuming and yields few leads with little intracellular information for guiding target selection. Recent subtractive genomics studies have revealed the putative drug targets in peptidoglycan biosynthesis pathways in Leptospira interrogans. Aligand library for the murD ligase enzyme in the peptidoglycan pathway has also been identified. Our approach in this research involves screening of the pre-existing ligand library of murD with related protein family members in the putative drug target assembly in the peptidoglycan biosynthesis pathway. A chemogenomics approach has been implemented here, which involves screening of known ligands of a protein family having analogous domain architecture for identification of leads for existing druggable protein family members. By means of this approach, one murC and one murF inhibitor were identified, providing a platform for developing an anti-leptospirosis drug targeting the peptidoglycan biosynthesis pathway. Given that the peptidoglycan biosynthesis pathway is exclusive to bacteria, the in silico identified mur ligase inhibitors are expected to be broad-spectrum Gram-negative inhibitors if synthesized and tested in in vitro and in vivo assays.

Identification of differentially expressed Genes by methyl mercury in neuroblastoma cell line using SSH

  • Kim, Youn-Jung;Chang, Suk-Tai;Ryu, Jae-Chun
    • Proceedings of the Korea Society of Environmental Toocicology Conference
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    • 2002.10a
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    • pp.167-167
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    • 2002
  • Methylmercury (MeHg), one of the heavy metal compound, can cause severe damage to the central nervous system in humans. Many reports have contributed MeHg poisoning to contaminated foods and release into the environment. Despite many studies on the pathogenesis of MeHg-induced central neuropathy, no useful mechanism of toxicity has been established. To find genes differentially expressed by MeHg in neuronal cell, we peformed forward and reverse suppression subtractive hybridization (SSH) method on mRNA derived from neuroblastoma cell line, SH-SY5Y treated with solvent (DMSO) and 6.25 uM (IC$\sub$50/) MeHg. Differentially expressed CDNA clones were sequenced and the mRNAs were re-examined on Northern blots. These sequences were identified by BLAST homology search to known genes or expressed sequence tags (ESTs). Analysis of these sequences has provided an insight into the biological effects of MeHg in the pathogenesis of neurodegenerative disease and a possibility to develop more efficient and exact monitoring system of heavy metals as common environmental pollutants.

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