• Title/Summary/Keyword: fast analysis

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Influence of design modification of control rod assembly for Prototype Generation IV Sodium-cooled Fast Reactor on drop performance

  • Son, Jin Gwan;Lee, Jae Han;Kim, Hoe Woong;Kim, Sung Kyun;Kim, Jong Bum
    • Nuclear Engineering and Technology
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    • v.51 no.3
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    • pp.922-929
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    • 2019
  • This paper presents the drop performance test of the control rod assembly which is one of the main components strongly related to the safety of the prototype generation IV sodium-cooled fast reactor. To investigate the drop performance, a real-sized control rod assembly that was recently modified based on the drop analysis results was newly fabricated, and several free drop tests under different flow rate conditions were carried out. Then the results were compared with those obtained from the previous tests conducted on the conceptually designed control rod assembly to demonstrate the improvement in performance. Moreover, the drop performance tests under several types and magnitudes of seismic loadings were also conducted to investigate the effect of the seismic loading on the drop performance of the modified control rod assembly. The results showed that the effects of the type and magnitude of the seismic loading on the drop performance of the modified control rod assembly were not significant. Also, the drop time requirement was successfully satisfied, even under the seismic loading conditions.

Performance Analysis of Men's K-1 1000 Meter Sprint at the 99th National Sports Festival (99회 전국체전 남자 일반부 K-1 1000m 경기력 분석)

  • Sohn, Jee-Hoon
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.465-470
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    • 2019
  • This study was conducted to analyze the lap time of the K-1 1000m final race of men's general division and to develop strategies to adjust the pace for the intervals to improve the performance. We measured the lap time of the final race of the 99 th National Sports Festival by 250m intervals and compared them with the data of the World Championship finals held in 2018. The final average record of domestic top-ranked players was 248.651 seconds, and the top international's 210.826 seconds. There was a time gap of 38 seconds in the record. In lap-time, it was 8, 11, 6, and 13 seconds behind every 250m. World Championship players used the Fast-Maintain-Maintain-Spurt strategy while domestic players used the pacing strategy of Fast-Slow-Fast-Slow. In order to improve the performance of domestic players, it is necessary to adjust overall pace control strategies to maintain the pace after the quick start and to spurt at the last lap.

An assessment of the applicability of multigroup cross sections generated with Monte Carlo method for fast reactor analysis

  • Lin, Ching-Sheng;Yang, Won Sik
    • Nuclear Engineering and Technology
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    • v.52 no.12
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    • pp.2733-2742
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    • 2020
  • This paper presents an assessment of applicability of the multigroup cross sections generated with Monte Carlo tools to the fast reactor analysis based on transport calculations. 33-group cross section sets were generated for simple one- (1-D) and two-dimensional (2-D) sodium-cooled fast reactor problems using the SERPENT code and applied to deterministic steady-state and depletion calculations. Relative to the reference continuous-energy SERPENT results, with the transport corrected P0 scattering cross section, the k-eff value was overestimated by 506 and 588 pcm for 1-D and 2-D problems, respectively, since anisotropic scattering is important in fast reactors. When the scattering order was increased to P5, the 1-D and 2-D problem errors were increased to 577 and 643 pcm, respectively. A sensitivity and uncertainty analysis with the PERSENT code indicated that these large k-eff errors cannot be attributed to the statistical uncertainties of cross sections and they are likely due to the approximate anisotropic scattering matrices determined by scalar flux weighting. The anisotropic scattering cross sections were alternatively generated using the MC2-3 code and merged with the SERPENT cross sections. The mixed cross section set consistently reduced the errors in k-eff, assembly powers, and nuclide densities. For example, in the 2-D calculation with P3 scattering order, the k-eff error was reduced from 634 pcm to -223 pcm. The maximum error in assembly power was reduced from 2.8% to 0.8% and the RMS error was reduced from 1.4% to 0.4%. The maximum error in the nuclide densities at the end of 12-month depletion that occurred in 237Np was reduced from 3.4% to 1.5%. The errors of the other nuclides are also reduced consistently, for example, from 1.1% to 0.1% for 235U, from 2.2% to 0.7% for 238Pu, and from 1.6% to 0.2% for 241Pu. These results indicate that the scalar flux weighted anisotropic scattering cross sections of SERPENT may not be adequate for application to fast reactors where anisotropic scattering is important.

Antecedents and Consequences of Brand Love for Fast Fashions (패스트 패션 브랜드 사랑의 선행변수와 결과변수)

  • Park, Hye-Jung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.39 no.5
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    • pp.728-744
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    • 2015
  • Brand love contributes to consumers' positive post-purchase behavior; therefore, fast fashion brand marketers should make more efforts to develop marketing strategies to promote brand love in the increasingly competitive fast fashion industry. This study identified the antecedents and consequences of fast fashion brand love to provide insights into brand love. Brand-related variables (affective brand experience, self-expressive brand, and hedonic brand attitude) were considered as antecedents, and post-purchase behavior variables (loyalty and positive word of mouth) were considered as consequences. It was hypothesized that affective brand experience, self-expressive brand, and hedonic brand attitude directly and indirectly influence brand loyalty and positive word of mouth through brand love. Data were gathered by surveying university students in Seoul, using convenience sampling. Two hundred and eighty-six questionnaires were used in the statistical analysis. Factor analysis revealed that all variables were uni-dimensional. Tests of the hypothesized path showed that affective brand experience and self-expressive brand indirectly influenced brand loyalty and positive word of mouth through brand love versus the direct influence of hedonic brand attitude. The results suggest some implications for fast fashion brand marketers.

Packet Bicasting in Fast Handover for PMIPv6 (PMIPv6 (Proxy Mobile IPv6)에서 고속핸드오버를 이용한 Packet bicasting기법)

  • Lee, Jin-Soo;Lee, Su-Kyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.5A
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    • pp.495-501
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    • 2011
  • IEFT proposed MIPv6 for supporting IP movement. Mobile Node is involved signaling that cause handover latency in MIPv6. Recently, Proxy Mobile IPv6 is proposed by IETF for network-based mobility management to reduce overhead in mobile node still suffers from packet loss. PMIPv6 can decrease handover latency which related overhead in MN by using network agent. Therefore, MIPSHOP Working Group proposed fast handover for PMIPv6, fu this paper, we proposed packet bicasting scheme on dual interface mobile node that can support fast handover using PMIPv6 schemes. Further, a numerical analysis is provided to show the benefits of our scheme. In the analysis, various parameters are used to compare our scheme with another procedure.

Effects of Service-environment and Waiting Time on Customers' Quality Perception in Fast-food Type Restaurants (패스트푸드 레스토랑의 서비스 환경과 대기시간이 고객의 품질인지에 미치는 영향)

  • Chung, Hyun-Young
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.413-423
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    • 2011
  • Service environments are known to have effects on quality recognition in fine-dining and family type restaurants. The current study explores that the effects are also likely in the fast-food type ones. To verify the research method factor and reliability analysis of SPSS version 18.0 are applied. The program is also used to test the influences among variables. With multiple regression analysis the study finds that there is a significant effect of service environment on quality recognition in fast-food type restaurants. The study also finds that employees' uniform and cleanliness are more influential than waiting time which is generally known as a key factor in fast food service restaurants.

A study on the Determinants Affecting Consumer's Perception on Consumer-Brand Relationship Quality in the Fast Food Restaurant (패스트푸드 레스토랑의 소비자-브랜드 관계의 질에 대한 고객 인식에 영향 미치는 요인 분석)

  • Kim Hyun-Ah
    • Journal of Nutrition and Health
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    • v.39 no.2
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    • pp.201-211
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    • 2006
  • The purpose of this study was to analyze the determinants affecting the consumer-brand relationship quality (CBRQ) in the fast food restaurant. The questionnaires were distributed to 250 students in the K University located in Masan, who were sampled by convenience-sampling method from December, 6 to 14, 2004. The 246 questionnaires were responded, and 12 unusable questionnaires were excluded, then 234 were used for the final analysis (response rate: 93.7%). SPSS (12.0) was used for the statistical analysis. The result of this study showed that the CBRQ of low monthly income group was significantly lower than that of high monthly income group (p < .05), and the CBRQ of more frequent visiting group was significantly higher than that of less frequent visiting group (p < .001). The CBRQ of group who spend less than 30 minutes on their visiting the fast food restaurant was lower than that of group who spend more than 30 minutes (p < .01). As a conclusion, the operators in the fast food restaurant should focus on the concentrated marketing strategy for the frequent-visiting customers who had a strong quality of consumer-brand relationship in order to increase sales volume, and at the same time they should try to make marketing strategy to induce the less frequent-visiting customers who had less strong consumer-brand relationship quality to their restaurants in order to strengthen quality of consumer-brand relationship, which would be resulted to lead them to their restaurant more frequently.

A Research on Difference Between Consumer Perception of Slow Fashion and Consumption Behavior of Fast Fashion: Application of Topic Modelling with Big Data

  • YANG, Oh-Suk;WOO, Young-Mok;YANG, Yae-Rim
    • The Journal of Economics, Marketing and Management
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    • v.9 no.1
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    • pp.1-14
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    • 2021
  • Purpose: The article deals with the proposition that consumers' fashion consumption behavior will still follow the consumption behavior of fast fashion, despite recognizing the importance of slow fashion. Research design, data and methodology: The research model to verify this proposition is topic modelling with big data including unstructured textual data. we combined 5,506 news articles posted on Naver news search platform during the 2003-2019 period about fast fashion and slow fashion, high-frequency words have been derived, and topics have been found using LDA model. Based on these, we examined consumers' perception and consumption behavior on slow fashion through the analysis of Topic Network. Results: (1) Looking at the status of annual article collection, consumers' interest in slow fashion mainly began in 2005 and showed a steady increase up to 2019. (2) Term Frequency analysis showed that the keywords for slow fashion are the lowest, with consumers' consumption patterns continuing around 'brand.' (3) Each topic's weight in articles showed that 'social value' - which includes slow fashion - ranked sixth among the 9 topics, low linkage with other topics. (4) Lastly, 'brand' and 'fashion trend' were key topics, and the topic 'social value' accounted for a low proportion. Conclusion: Slow fashion was not a considerable factor of consumption behavior. Consumption patterns in fashion sector are still dominated by general consumption patterns centered on brands and fast fashion.

Malware Classification using Dynamic Analysis with Deep Learning

  • Asad Amin;Muhammad Nauman Durrani;Nadeem Kafi;Fahad Samad;Abdul Aziz
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.49-62
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    • 2023
  • There has been a rapid increase in the creation and alteration of new malware samples which is a huge financial risk for many organizations. There is a huge demand for improvement in classification and detection mechanisms available today, as some of the old strategies like classification using mac learning algorithms were proved to be useful but cannot perform well in the scalable auto feature extraction scenario. To overcome this there must be a mechanism to automatically analyze malware based on the automatic feature extraction process. For this purpose, the dynamic analysis of real malware executable files has been done to extract useful features like API call sequence and opcode sequence. The use of different hashing techniques has been analyzed to further generate images and convert them into image representable form which will allow us to use more advanced classification approaches to classify huge amounts of images using deep learning approaches. The use of deep learning algorithms like convolutional neural networks enables the classification of malware by converting it into images. These images when fed into the CNN after being converted into the grayscale image will perform comparatively well in case of dynamic changes in malware code as image samples will be changed by few pixels when classified based on a greyscale image. In this work, we used VGG-16 architecture of CNN for experimentation.

Multigroup cross-sections generated using Monte-Carlo method with flux-moment homogenization technique for fast reactor analysis

  • Yiwei Wu;Qufei Song;Kuaiyuan Feng;Jean-Francois Vidal;Hanyang Gu;Hui Guo
    • Nuclear Engineering and Technology
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    • v.55 no.7
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    • pp.2474-2482
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    • 2023
  • The development of fast reactors with complex designs and operation status requires more accurate and effective simulation. The Monte-Carlo method can generate multi-group cross-sections in arbitrary geometry without approximation on resonances treatment and leads to good results in combination with diffusion codes. However, in previous studies, the coupling of Monte-Carlo generated multi-group cross-sections (MC-MGXS) and transport solvers has shown relatively large biases in fast reactor problems. In this paper, the main contribution to the biases is proved to be the neglect of the angle-dependence of the total cross-sections. The flux-moment homogenization technique (MHT) is proposed to take into account this dependence. In this method, the angular dependence is attributed to the transfer cross-sections, keeping an independent form for the total sections. For the MET-1000 benchmark, the multi-group transport simulation results with MC-MGXS generated with MHT are improved by 700 pcm and an additional 120 pcm with higher order scattering. The factors that cause the residual bias are discussed. The core power distribution bias is also significantly reduced when MHT is used. It proves that the MCMGXS with MHT can be applicable with transport solvers in fast reactor analysis.