• Title/Summary/Keyword: Cluster Formation

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Evaluation of the Residual Stress with Respect to Supporting Type of Multi-layer Thin Film for the Metallization of Pressure Sensor (압력센서의 배선을 위한 다층 박막의 지지조건 변화에 따른 잔류응력 평가)

  • Shim, Jae-Joon;Han, Geun-Jo;Han, Dong-Seup
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.5
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    • pp.532-538
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    • 2004
  • MEMS technology applying to the sensors and micro-electro devices is complete system. These microsystems are made by variable processes. Especially, the mentallization process has very important functions to transfer the power operating the sensor and signal induced from sensor part. But in the structures of MEMS the local stress concentration and deformation are often yielded by an irregular geometrical shape and different constraint. Therefore, this paper studies the effect of supporting type and thickness ratio about thin film of the substrate on the residual stress variation when the thermal loads is applied to the multi-layer thin film fabricated by metallization process. Specimens were made from several materials such as Al, Au and Cu. Then, uniform thermal load was applied, repeatedly. The residual stress was measured by FE Analysis and nano-indentation method using AFM. Generally, the specimen made of Al induced the larger residual stress than that of made of other materials. Specimen made of Cu and Au having the low thermal expansion coefficient induces the minimum residual stress. Similarly, the lowest indentation length was measured by nano-indentation method in the Si/Au/Cu specimen. Particularly, clusters are created in the specimen made of Cu by thermal load and the indentation length became increasingly large by cluster formation.

Effects of Organic Fertilizer and Several Plant Growth Regulators on Yield Components and Quality of Tomato under the Plastic Film House Condition (유기질비료 및 수종의 성장조절제처리가 토마토 수량 구성요소 및 품질에 미치는 영향)

  • Shim, J-S;Kim, Y-C
    • The Journal of Natural Sciences
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    • v.4
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    • pp.161-177
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    • 1991
  • This experiment was carrid out to investigate the effect of organic fertilizer and plant growth regulators application on the growth and quality of tomato. The results are summarized as follows. 1. Plant height of tomato was recorded highest when chemical fertilizer plus organic fertilizer was applied, and did not have significant effects in number of leaf. But stem diameter was positively effected by chemical plus organic fertilizer application than chemical fertilizer alone. 2. Flower formation, flower weight, anther weight and ovary weight were generally increased by organic fertilizer application. 3. Fruit-set and number of flower were significantly increased by organic fertilizer application. 4. Deformity fruit was the lowest rate at chemical plus organic fertilizer application when it was 14.7 percent, and it was increased by chemical fertilizer application. 5. Days of ripening was slightly delayed by organic fertilizer application and also flowering date shortened by chemical fertilizer application. 6. Plant growth regulators had positive effects on number of flower, flower weight, anther weight, and ovary weight, and variations of their effect by cluster were apparent. 7. Fruit-set was increased by 2,4-D 10ppm and BA 20ppm treatments but was decreased by treatments of Ethephon 10ppm and control. 8. By the BA 20ppm and 2,4-D 10ppm treatments, the rate of deformity fruit was decreased and fruit ripening date was also shortened.

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Consumer Characteristics Influencing the Consideration Set of Stores in Purchasing Apparel Products (의류제품 구매 시 고려점포군 형성에 영향을 미치는 소비자 특성 연구)

  • Kim, Han-Na;Rhee, Eun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.2
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    • pp.201-211
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    • 2008
  • The purpose of this study was to clarify the concept of consideration set of stores and to contribute to the prediction of consumers' store behavior by finding out which consumer characteristics affect the formation of consideration set of stores. The data were collected from 553 female consumers. Factor analysis, K-cluster analysis, and ANOVA were used for data analysis. The results of this study were as follows: First, the respondents were classified into seven groups based on the number of stores and store types they considered. Second, there were significant differences among groups in consumer characteristics such as knowledge, motivation, and solubility; especially, the differences were related to the number of considering store rather than the types of considering store. In other words, the more involvement in clothing and the more experience and knowledge about apparel purchases a consumer had, the more stores the consumer considered. This study is meaningful in that it provides a systematic organization of the concept of consideration set of stores.

Heterologous Production and Detection of Recombinant Directing 2-Deoxystreptamine (DOS) in the Non-Aminoglycoside-Producing Host Streptomyces venezuelae YJ003

  • Kurumbang, Nagendra Prasad;Oh, Tae-Jin;Liou, Kwangkyoung;Sohng, Jae-Kyung
    • Journal of Microbiology and Biotechnology
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    • v.18 no.5
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    • pp.866-873
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    • 2008
  • 2-Deoxystreptamine is a core aglycon that is vital to backbone formation in various aminoglycosides. This core structure can be modified to develop hybrid types of aminoglycoside antibiotics. We obtained three genes responsible for 2-deoxystreptamine production, neo7, neo6, and neo5, which encode 2-deoxy-scyllo-inosose synthase, L-glutamine: 2-deoxy-scyllo-inosose aminotransferase, and dehydrogenase, respectively, from the neomycin gene cluster. These genes were cloned into pIBR25, a Streptomyces expression vector, resulting in pNDOS. The recombinant pNDOS was transformed into a non-aminoglycoside-producing host, Streptomyces venezuelae YJ003, for heterologous expression. Based on comparisons of the retention time on LC-ESI/MS and ESI-MS data with those of the 2-deoxystreptamine standard, a compound produced by S. venezuelae YJ003/pNDOS was found to be 2-deoxystreptamine.

Influence of Sample Preparation Method and Silver Salt Types on MALDI-TOFMS Analysis of Polybutadiene

  • Choi, Sung-Seen;Ha, Sung-Ho
    • Macromolecular Research
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    • v.16 no.2
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    • pp.108-112
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    • 2008
  • Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) analysis of nonpolar polymeric materials is affected by the sample preparation as well as the matrix and cationizing agent. This study examined the influence of silver salt types on the MALDI analysis of polybutadiene (PB). Silver trifluoroacetate (AgTFA), silver benzoate (AgBz), silver nitrate ($AgNO_3$), and silver p-toluenesulfonate (AgTS) were used as the silver salts to compare the MALDI mass spectra of PB. The mixture solution of PB and 2,5-dihydroxybenzoic acid (DHB), as a matrix dissolved in THF, was spotted on the sample plate and dried. A droplet of the aqueous silver salt solution was placed onto the mixture. The mass spectrum with AgBz showed the clear $[M+Ag]^+$ ion distribution of PB while the mass spectrum with AgTFA did not show $[M+Ag]^+$ ions but only silver cluster ions. The mass spectra with $AgNO_3$ and AgTS did not show a clear $[M+Ag]^+$ ion distribution. The difference in the formation of $[M+Ag]^+$ ions of PB depending on the silver salts was attributed to the silver cation transfer reaction between the silver salt and the matrix (DHB). The mass spectrum showed a clear $[M+Ag]^+$ ion distribution of PB when the conjugate acid of the silver salt was less acidic than the matrix.

A Study on the Sulfur-Resistant Catalysts for Water Gas Shift Reaction IV. Modification of $CoMo/γ-Al_2O_3$ Catalyst with K

  • Park, Jin Nam;Kim, Jae Hyeon;Lee, Ho In
    • Bulletin of the Korean Chemical Society
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    • v.21 no.12
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    • pp.1239-1244
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    • 2000
  • A study of K addition to the catalyst of CoMo/ ${\gamma}-Al_2O_3$ was studied. The catalyst with 10 at% of K to Mo atoms in 3C10M, the catalyst added 3 wt% CoO to 10 wt% $MoO_3/{\gamma}-Al_2O_3$, showed the highest activity for water gas shift reaction. The addition of K retarded the reducibility of cobalt-molybdenum catalysts. It gave, however, good dispersion and large BET surface area to the catalysts which were attributed to the disappearance of polymolybdate clustyer such as $Mo_7O_{24}^{6-}$ and the formation of small Mo$O_4^{2-}$ cluster. It was confirmed by the analyses of pore size distribution, activation energy, Raman spectroscopy, and electron diffraction. The activation energies and the frequency factors of the catalysts 3C10M and 5KC10M (the catalyst added 5 at% K for Mo to the catalyst 3C10M) were 43.1 and 47.8 kJ/mole, and 4,297 and 13,505 $sec^{-1}$, respectively. These values were also well correlated with our suggestion. These phenomena were attributed to the direct interaction between K and CoMo oxides irrelevant to the support.

Design and Implementation of Incremental Learning Technology for Big Data Mining

  • Min, Byung-Won;Oh, Yong-Sun
    • International Journal of Contents
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    • v.15 no.3
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    • pp.32-38
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    • 2019
  • We usually suffer from difficulties in treating or managing Big Data generated from various digital media and/or sensors using traditional mining techniques. Additionally, there are many problems relative to the lack of memory and the burden of the learning curve, etc. in an increasing capacity of large volumes of text when new data are continuously accumulated because we ineffectively analyze total data including data previously analyzed and collected. In this paper, we propose a general-purpose classifier and its structure to solve these problems. We depart from the current feature-reduction methods and introduce a new scheme that only adopts changed elements when new features are partially accumulated in this free-style learning environment. The incremental learning module built from a gradually progressive formation learns only changed parts of data without any re-processing of current accumulations while traditional methods re-learn total data for every adding or changing of data. Additionally, users can freely merge new data with previous data throughout the resource management procedure whenever re-learning is needed. At the end of this paper, we confirm a good performance of this method in data processing based on the Big Data environment throughout an analysis because of its learning efficiency. Also, comparing this algorithm with those of NB and SVM, we can achieve an accuracy of approximately 95% in all three models. We expect that our method will be a viable substitute for high performance and accuracy relative to large computing systems for Big Data analysis using a PC cluster environment.

Horizon Run 5: the largest cosmological hydrodynamic simulation

  • Kim, Juhan;Shin, Jihye;Snaith, Owain;Lee, Jaehyun;Kim, Yonghwi;Kwon, Oh-Kyung;Park, Chan;Park, Changbom
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.33.2-33.2
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    • 2019
  • Horizon Run 5 is the most massive cosmological hydrodynamic simulation ever performed until now. Owing to the large spatial volume ($717{\times}80{\times}80[cMpc/h]^3$) and the high resolution down to 1 kpc, we may study the cosmological effects on star and galaxy formations over a wide range of mass scales from the dwarf to the cluster. We have modified the public available Ramses code to harness the power of the OpenMP parallelism, which is necessary for running simulations in such a huge KISTI supercomputer called Nurion. We have reached z=2.3 from z=200 for a given simulation period of 50 days using 2500 computing nodes of Nurion. During the simulation run, we have saved snapshot data at 97 redshifts and two light cone space data, which will be used later for the study of various research fields in galaxy formation and cosmology. We will close this talk by listing possible research topics that will play a crucial role in helping us take lead in those areas.

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DIFFUSIVE SHOCK ACCELERATION BY MULTIPLE WEAK SHOCKS

  • Kang, Hyesung
    • Journal of The Korean Astronomical Society
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    • v.54 no.3
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    • pp.103-112
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    • 2021
  • The intracluster medium (ICM) is expected to experience on average about three passages of weak shocks with low sonic Mach numbers, M ≲ 3, during the formation of galaxy clusters. Both protons and electrons could be accelerated to become high energy cosmic rays (CRs) at such ICM shocks via diffusive shock acceleration (DSA). We examine the effects of DSA by multiple shocks on the spectrum of accelerated CRs by including in situ injection/acceleration at each shock, followed by repeated re-acceleration at successive shocks in the test-particle regime. For simplicity, the accelerated particles are assumed to undergo adiabatic decompression without energy loss and escape from the system, before they encounter subsequent shocks. We show that in general the CR spectrum is flattened by multiple shock passages, compared to a single episode of DSA, and that the acceleration efficiency increases with successive shock passages. However, the decompression due to the expansion of shocks into the cluster outskirts may reduce the amplification and flattening of the CR spectrum by multiple shock passages. The final CR spectrum behind the last shock is determined by the accumulated effects of repeated re-acceleration by all previous shocks, but it is relatively insensitive to the ordering of the shock Mach numbers. Thus multiple passages of shocks may cause the slope of the CR spectrum to deviate from the canonical DSA power-law slope of the current shock.

Sim-Hadoop : Leveraging Hadoop Distributed File System and Parallel I/O for Reliable and Efficient N-body Simulations (Sim-Hadoop : 신뢰성 있고 효율적인 N-body 시뮬레이션을 위한 Hadoop 분산 파일 시스템과 병렬 I / O)

  • Awan, Ammar Ahmad;Lee, Sungyoung;Chung, Tae Choong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.476-477
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    • 2013
  • Gadget-2 is a scientific simulation code has been used for many different types of simulations like, Colliding Galaxies, Cluster Formation and the popular Millennium Simulation. The code is parallelized with Message Passing Interface (MPI) and is written in C language. There is also a Java adaptation of the original code written using MPJ Express called Java Gadget. Java Gadget writes a lot of checkpoint data which may or may not use the HDF-5 file format. Since, HDF-5 is MPI-IO compliant, we can use our MPJ-IO library to perform parallel reading and writing of the checkpoint files and improve I/O performance. Additionally, to add reliability to the code execution, we propose the usage of Hadoop Distributed File System (HDFS) for writing the intermediate (checkpoint files) and final data (output files). The current code writes and reads the input, output and checkpoint files sequentially which can easily become bottleneck for large scale simulations. In this paper, we propose Sim-Hadoop, a framework to leverage HDFS and MPJ-IO for improving the I/O performance of Java Gadget code.