• Title/Summary/Keyword: Effects-based Analysis

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Fault injection and failure analysis on Xilinx 16 nm FinFET Ultrascale+ MPSoC

  • Yang, Weitao;Li, Yonghong;He, Chaohui
    • Nuclear Engineering and Technology
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    • v.54 no.6
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    • pp.2031-2036
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    • 2022
  • Energetic particle strikes the device and induces data corruption in the configuration memory (CRAM), causing errors and even malfunctions in a system on chip (SoC). Software-based fault injection is a convenient way to assess device performance. In this paper, dynamic partial reconfiguration (DPR) is adopted to make fault injection on a Xilinx 16 nm FinFET Ultrascale+ MPSoC. And the reconfiguration module implements the Sobel and Gaussian image filtering, respectively. Fault injections are executed on the static and reconfiguration modules' bitstreams, respectively. Another contribution is that the failure modes and effects analysis (FMEA) method is applied to evaluate the system reliability, according to the obtained injection results. This paper proposes a software-based solution to estimate programmable device vulnerability.

An Analysis of Economic Effects on the ICT based New Growth Engine Industry - Based on Technology Rating System - (ICT기반 신성장동력 산업의 경제적 파급효과 분석 - 기술평가모형을 기반으로 -)

  • Park, Joo Yeon;Sung, Chang Soo;Park, Myung Il;Sung, Hyung Suk
    • Management & Information Systems Review
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    • v.36 no.2
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    • pp.93-111
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    • 2017
  • This study aims to examine economic effects and success factors of ICT based growth engine industry for forth generation industrial revolution. KTRS(kibo Technology Rating System) provided by KIBO is used for an analysis of this study. Specifically, the economic effects of growth engine industy are classified with financial(productivity, growth rate, etc) and non-financial(R&D investment and employment) effects. Moreover, the impacts of KTRS factors including CEO capability, technology ability, commercialization and marketability on the economic effects are investigated. The result of this study would raise management issues on technology innovation and provide implications on industrial policies for ICT based growth engine industry.

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Flood Effects Analysis of Reservoir Basin through the Linkage of HEC-HMS and HEC-RAS Models (HEC-HMS와 HEC-RAS모형의 연계에 의한 댐 유역의 홍수영향 분석)

  • Lee, Weon-Hee;Kim , Sun-Joo;Kim , Phil-Shik
    • Journal of The Korean Society of Agricultural Engineers
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    • v.46 no.2
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    • pp.15-25
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    • 2004
  • For the effective operation of irrigation reservoirs, a general and systematic policy is suggested to make balance of the conflicting purposes between water conservation and flood control. In this study, the flood effective analysis system was developed through the integration of long-term water budget analysis model, GIS-based HEC-HMS model and HEC-RAS model. The system structure consists of long-term water budget model using modified TANK theory, flood runoff and flood effects analysis model using HEC-GeoHMS, HEC-HMS and HEC-RAS models. The flood effects analysis system simulated the flood runoff from the upstream, downstream flood and long-term runoff of the watershed using the observed data collected from 1998 to 2002 of Seongju dam. The simulated results were reasonably good compared with the observed data. The optimal management method of the reservoir during the whole season is suggested in this study, and the flood analysis system can be a useful tool to evaluate a reservoir operation quantitatively for the mitigation of flood damages of reservoir basin.

Assessment of Heavy Metal Effects on the Freshwater Microalga, Chlorella vulgaris, by Chlorophyll Fluorescence Analysis (엽록소형광분석을 이용한 담수산 클로렐라(Chlorella vulgaris)에 미치는 중금속의 영향 평가)

  • Oh, Soon-Ja;Koh, Seok-Chan
    • Journal of Environmental Science International
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    • v.24 no.12
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    • pp.1591-1600
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    • 2015
  • The response of the freshwater microalga, Chlorella vulgaris, to heavy metal stress was examined based on chlorophyll fluorescence analysis to assess the toxic effects of heavy metals in freshwater ecosystems. When toxic effects were analyzed using regular chlorophyll fluorescence analysis, photosystem II activity($F_v/F_m$) decreased significantly when exposed to $Cu^{2+}$ and $Hg^{2+}$ for 12 h, and decreased in the order of $Hg^{2+}>Cu^{2+}>Cd^{2+}>Ni^{2+}$ when exposed for 24h. The effective photochemical quantum yield(${\phi}{\prime}_{PSII}$), chlorophyll fluorescence decrease ratio($R_{Fd}$), minimal fluorescence yield($F_o$), and non-photochemical quenching(NPQ), but not photochemical quenching(qP), responded sensitively to $Hg^{2+}$, $Cu^{2+}$, and $Cd^{2+}$. These results suggest that $F_v/F_m$, as well as ${\phi}{\prime}_{PSII}$, $R_{Fd}$, $F_o$, and NPQ could be used to assess the effects of heavy metal ions in freshwater ecosystems. However, because many types of heavy metal ions and toxic compounds co-occur under natural conditions, it is difficult to assess heavy metal toxicity in freshwater ecosystems. When Chlorella was exposed to heavy metal ions for 12 or 24h, $F_v/F_m$ and maximal fluorescence yield($F_m$) changed in response to $Hg^{2+}$ and $Cu^{2+}$ based on image analysis. However, assessing quantitatively the toxic effects of several heavy metal ions is challenging.

Analysis of effects of burning in grasslands with quantifying succession stages by life-history traits in Kirigamine, central Japan

  • Kato, Jun;Kawakami, Mihoko
    • Journal of Ecology and Environment
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    • v.36 no.1
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    • pp.101-112
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    • 2013
  • To quantitatively analyze the effects of burning, we conducted a vegetation survey in the grasslands in Kirigamine, central Japan. We classified each species into stages of succession based on the life-history traits of the species and defined the score of the species in each stand based on the classification. We weighted the scores with a v-value, the product of coverage and height in the quadrat, and summed them to calculate the index of dynamic status. With these indices, we were able to quantitatively compare the stands in the study area and discern minute differences between the stands with different lengths of restoration periods since the disturbance of burning. These indices correlated with the v-value of trees, suggesting that the disturbance of burning seemed to affect the trees in the stand. We then calculated the growth of the tree species Pinus densiflora to evaluate its contribution to the index of dynamic status.

Effects of University-based Science Gifted Education Programs on the Science Career Orientation of Gifted (대학부설 과학영재교육원 프로그램이 영재들의 과학진로지향에 주는 영향 분석)

  • Noh, Hyeonah;Choi, Jaehyeok
    • Journal of Gifted/Talented Education
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    • v.25 no.4
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    • pp.493-509
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    • 2015
  • This study analyzed the effects of university-based science education programs on the gifted's science career orientation. The subject of this study was 74 students who had university-based science gifted education programs on 2014. They took 'Science Career Orientation' tests and questionnaires before and after the program. We had a cluster analysis about pre scores on 'Science Career Orientation' as a variable. We analyzed the satisfaction level and effect of science career decision by groups after the program. As results, they were divided into four groups by cluster analysis. University-based science education program helped the increase of science career orientation in the categories indicating the low scores of the groups. They showed high satisfaction level and positive effects of science career decision, and the programs affecting their science career decision and satisfaction about that were different by groups. Satisfaction level and effects of science career decision are highly correlated.

The Relationship between Job Characteristics and Service Quality, and Moderating Effect of Gender and Tenure (호텔 종사원의 직무특성 인지도와 서비스품질의 관계: 성과 재직기간의 조절효과를 중심으로)

  • Ahn, Kwan-Young
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2006.04a
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    • pp.473-478
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    • 2006
  • Empirical analysis was based on the data of 692 hotel employees from Seoul and Gyung-gi province. To test the relationship between job characteristics and service quality, multiple regression analysis was applied, and hierarchial regression analysis(Cohen & Cohen, 1983) applied to test the moderating effects of gender and tenure. Multiple regressional analysis showed that job importance, job variety, and feedback had an positive impact on tangibility, reliability, responsiveness, assurance, empathy, but autonomy had a negative impact on tangibility, reliability, responsiveness, assurance. Hierarchical regressional analysis showed that gender had moderating effects on 4 relationships between job characteristics and service quality, and tenure had moderating effects on 3 relationships.

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Post-earthquake fire performance-based behavior of reinforced concrete structures

  • Behnama, Behrouz;Ronagh, Hamid R.
    • Earthquakes and Structures
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    • v.5 no.4
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    • pp.379-394
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    • 2013
  • Post-earthquake fire (PEF) can lead to a rapid collapse of buildings damaged partially as a result of prior earthquake. Almost all standards and codes for the design of structures against earthquake ignore the risk of PEF, and thus buildings designed using those codes could be too weak when subjected to a fire after an earthquake. An investigation based on sequential analysis inspired by FEMA356 is performed here on the Immediate Occupancy, Life Safety and Collapse Prevention performance levels of structures, designed to the ACI 318-08 code, after they are subjected to an earthquake level with PGA of 0.35g. This investigation is followed by a fire analysis of the damaged structures, examining the time taken for the damaged structures to collapse. As a point of reference, a fire analysis is also performed for undamaged structures and before the occurrence of earthquake. The results indicate that the vulnerability of structures increases dramatically when a previously damaged structure is exposed to PEF. The results also show that the damaging effects of post-earthquake fire are exacerbated when initiated from the second and third floor. Whilst the investigation is made for a certain class of structures (conventional buildings, intermediate reinforced structure, 3 stories), the results confirm the need for the incorporation of post-earthquake fire into the process of analysis and design, and provides some quantitative measures on the level of associated effects.

Experimental Studies on the Anti-inflammatory Effect of Cannabis sativa based on a Scientometric Analysis

  • Eunsoo Sohn;Sung Hyeok Kim;Sohee Jang;Se-Hui Jung;Kooyeon Lee;Eun-Hwa Sohn
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2021.04a
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    • pp.45-45
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    • 2021
  • This study aimed to explore research on bibliometric features of cannabis by applying scientometric analysis method, and to approach experimental research evaluation based on it. A total of 30,352 articles on cannabis published since 2001 from SCOPUS were analyzed using KnowledgeMatrix Plus and VOSviewer software. Results showed differences in research activities in countries where cannabis is legalized (Canada, the United States, the Netherlands) and Asian countries where its use is illegal. Related to medical cannabis, there has been a noticeable increase in the number of studies on pain, epilepsy, seizures and brain diseases such as multiple sclerosis. In the field of basic research, the number of pharmacological studies of cannabis on the cannabinoid type 1 receptor signaling pathway and inflammation and obesity has increased significantly. Subsequent experimental studies have compared the anti-inflammatory effects of four parts of Korean cannabis such as root, stem, leaf, and bark. Consistent with the predicted results of the scientometric analysis, all parts of C. sativa showed inhibitory effects on COX-2, NO/iNOS and TNF-α expression in LPS-stimulated RAW264.7 cells. These attempts provide an experimental research approach based on scientometric assessment.

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Measuring Industry Regulations Using an Agent-based Model: The Case of Online Games in Korea

  • Taekyung Kim;Seongmin Jeon;Jongil Kim
    • Asia pacific journal of information systems
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    • v.29 no.2
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    • pp.165-180
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    • 2019
  • As game industry prospers, the negative side of games becomes highlighted as well as its contributions to economy growth. In spite of strong arguments for the necessity to regulations as a means to decrease addiction or overindulgence, research has produced future suggestions rather than quantifiable evidence. In this paper, we propose adopting a simulation approach in addition to quantitative approaches to better understand optimal regulatory levels since a simulation approach can visualize unexpected side effects of regulations. In this study, we suggest the application of an agent-based model (ABM) as a smart service to measure the effects of regulatory policies. We review cases applying ABM in various domains and consider the possibility of using an ABM to understand the effectiveness of web board-game regulations. We find that the ABM approach would be useful in several areas, such as the analysis of regulatory effects that reflect a variety of characteristics, the measurement of micro-regulatory effects, and the simulation of regulations.