• Title/Summary/Keyword: application log

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Mean moment effect on circular thin-walled tubes under cyclic bending

  • Chang, Kao-Hua;Pan, Wen-Fung;Lee, Kuo-Long
    • Structural Engineering and Mechanics
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    • v.28 no.5
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    • pp.495-514
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    • 2008
  • In this paper, experimental and theoretical investigations of the effect of the mean moment on the response and collapse of circular thin-walled tubes subjected to cyclic bending are discussed. To highlight the influence of the mean moment effect, three different moment ratios r (minimum moment/ maximum moment) of -1, -0.5 and 0, respectively, were experimentally investigated. It has been found that the moment-curvature loop gradually shrinks with the number of cycles, and becomes stable after a few cycles for symmetric cyclic bending (r = -1). However, the moment-curvature loop exhibits ratcheting and increases with the number of cycles for unsymmetric cyclic bending (r = -0.5 or 0). In addition, although the three groups of tested specimens had three different moment ratios, when plotted in a log-log scale, three parallel straight lines describe the relationship between the controlled moment range and the number of cycles necessary to produce buckling. Finally, the endochronic theory combined with the principle of virtual work was used to simulate the relationship among the moment, curvature and ovalization of thin-walled tubes under cyclic bending. An empirical formulation was proposed for simulating the relationship between the moment range and the number of cycles necessary to produce buckling for thin-walled tubes subjected to cyclic bending with different moment ratios. The results of the experimental investigation and the simulation are in good agreement with each other.

Inactivation of Ralstonia Solanacearum using Filtration-Plasma Process (여과-Plasma 공정을 이용한 Ralstonia Solanacearum 불활성화)

  • Kim, Dong-Seog;Park, Young-Seek
    • Journal of Environmental Science International
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    • v.23 no.6
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    • pp.1165-1173
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    • 2014
  • For the field application of dielectric barrier discharge plasma reactor in nutrient solution culture, a filtration-DBD (dielectric barrier discharge) plasma reactor was investigated for the Ralstonia solanacearum which causes bacterial wilt in aquiculture. The filtration-DBD plasma reactor system of this study was consisted of filter, plasma reactor, reservoir. The DBD plasma reactor consisted of a quartz dielectric tube, discharge electrode (inner) and ground electrode (outer). The experimental results showed that the inactivation of R. solanacearum with filter media type in filter reactor ranked in the following order: anthracite > fiber ball > sand > ceramic ball > quartz ceramic. In filtration + plasma process, disinfection effect with the voltage was found to small. In disinfection time of 120 minutes, residual R. solanacearum concentration was 1.17 log (15 CFU/mL). When the continuous disinfection time was 120 minute, disinfection effect was thought to keep the four days. In sporadic operation mode of 30 minutes disinfection - 24 hours break, residual R. solanacearum concentration after five days was 0.3 log (2 CFU/mL). It is considered that most of R. solanacearum has been inactivated substantially.

제주 분지 올리고세층의 층서 및 퇴적환경

  • 김재호;이용일
    • 한국석유지질학회:학술대회논문집
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    • autumn
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    • pp.29-37
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    • 1999
  • Stratigraphic subdivision, correlation and depositional environments of Oligocene strata in the Cheju basin are studied using microfossils, wireline-log, trace elements from Geobuk-1, Okdom-1 and JDZ V-2 exploratory wells as well as seismic attributes. Application of these Integrated approaches is becoming increasingly an important tool in sedimentary and petroleum geology. The purpose of this study is to provide an integrated sequence-stratigraphic interpretation for petroleum system in the Cheju basin. During the last several years the Cheju basin has been studied for petroleum potential in terms of sequence stratigraphy. The strata assigned to be of the Early Miocene in the previous studies are reinterpreted to be of Oligocene in age. Depositional environments of these strata are also reinterpreted to have been influenced significantly by marine floodings. This interpretation is supported by the lines of evidence such as occurrences of abundant dinoflagellates and calcareous nannofossils, higher sulfur (1000-10000 ppm), TOC contents $(>1{\~}3{\%})$ and hydrogen index, and specific biomarkers such as dinostrane and $C_{30}$ 4-methyl steranes. Seismic facies, determined as a fairly continuous amplitude reflection, relatively parallel uniform strata, also provides a clue for recognizing marine transgressions during the Oligocene. Two 2nd--order stratigraphic cycles are observed in Oligocene strata based on well-log responses and the presence of microfossils. Each sequence comprises shallow marine deposits in the lower part and inner-outer neritic deposits in the upper part, thus showing a upward-deepening trend. In petroleum exploration point of view, the presence of marine strata would provide a better exploration potential for source rock and reservoir quality in the Cheju basin, offshore Korea.

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Real-Time Physical Activity Recognition Using Tri-axis Accelerometer of Smart Phone (스마트 폰의 3축 가속도 센서를 이용한 실시간 물리적 동작 인식 기법)

  • Yang, Hye Kyung;Yong, H.S.
    • Journal of Korea Multimedia Society
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    • v.17 no.4
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    • pp.506-513
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    • 2014
  • In recent years, research on user's activity recognition using a smart phone has attracted a lot of attentions. A smart phone has various sensors, such as camera, GPS, accelerometer, audio, etc. In addition, smart phones are carried by many people throughout the day. Therefore, we can collect log data from smart phone sensors. The log data can be used to analyze user activities. This paper proposes an approach to inferring a user's physical activities based on the tri-axis accelerometer of smart phone. We propose recognition method for four activity which is physical activity; sitting, standing, walking, running. We have to convert accelerometer raw data so that we can extract features to categorize activities. This paper introduces a recognition method that is able to high detection accuracy for physical activity modes. Using the method, we developed an application system to recognize the user's physical activity mode in real-time. As a result, we obtained accuracy of over 80%.

Screening and Clustering for Time-course Yeast Microarray Gene Expression Data using Gaussian Process Regression (효모 마이크로어레이 유전자 발현데이터에 대한 가우시안 과정 회귀를 이용한 유전자 선별 및 군집화)

  • Kim, Jaehee;Kim, Taehoun
    • The Korean Journal of Applied Statistics
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    • v.26 no.3
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    • pp.389-399
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    • 2013
  • This article introduces Gaussian process regression and shows its application with time-course microarray gene expression data. Gene screening for yeast cell cycle microarray expression data is accomplished with a ratio of log marginal likelihood that uses Gaussian process regression with a squared exponential covariance kernel function. Gaussian process regression fitting with each gene is done and shown with the nine top ranking genes. With the screened data the Gaussian model-based clustering is done and its silhouette values are calculated for cluster validity.

A Method for Efficient Structure Management and Evaluation of Website (웹사이트의 효율적인 구조 관리와 평가 방법)

  • 유대승;엄정섭;이명재
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.06a
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    • pp.306-315
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    • 2002
  • With the rapid growth of WWW, the existing systems are integrated into web and various web-based systems are developed. Unlike the general applications, web aplications are developed by combining the various technologies and have their own complexities. So, we have much difficulties in the development and maintenance of web applications. To accommodate to the rapidly changing business environments and user requirements, the continuos evolution is required. In this paper, we present a method for supporting the effective development and maintenance of web applications. Our method involves the extraction of web application's structure information and analyzes web log ales containing the useful information about web site. We also describe a web testing method using the attracted information and our system developed for extracting hyperlink information and analyzing web log.

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LDPC Decoder Architecture for High-speed UWB System (고속 UWB 시스템의 LDPC 디코더 구조 설계)

  • Choi, Sung-Woo;Lee, Woo-Yong;Chung, Hyun-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.3C
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    • pp.287-294
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    • 2010
  • MB-OFDM UWB system will adopt LDPC codes to enhance the decoding performance with higher data rates. In this paper, we will consider algorithm and architecture of the LDPC codes in MB-OFDM UWB system. To suggest the hardware efficient LDPC decoder architecture, LLR(log-likelihood-ration) calculation algorithms and check node update algorithms are analyzed. And we proposed the architecture of LDPC decoder for the high throughput application of Wimedia UWB. We estimated the feasibility of the proposed architecture by implementation in a FPGA. The implementation results show our architecture attains higher throughput than other result of QC-LDPC case. Using this architecture, we can implement LDPC decoder for high throughput transmission, but it is 0.2dB inferior to the BP algorithm.

A Method of Forensic Authentication via File Structure and Media Log Analysis of Digital Images Captured by iPhone (아이폰으로 촬영된 디지털 이미지의 파일 구조 및 미디어 로그 분석을 통한 법과학적 진본 확인 방법)

  • Park, Nam In;Lee, Ji Woo;Jeon, Oc-Yeub;Kim, Yong Jin;Lee, Jung Hwan
    • Journal of Korea Multimedia Society
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    • v.24 no.4
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    • pp.558-568
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    • 2021
  • The digital image to be accepted as legal evidence, it is important to verify the authentication of the digital image. This study proposes a method of authenticating digital images through three steps of comparing the file structure of digital images taken with iPhone, analyzing the encoding information as well as media logs of the iPhone storing the digital images. For the experiment, digital image samples were acquired from nine iPhones through a camera application built into the iPhone. And the characteristics of file structure and media log were compared between digital images generated on the iPhone and digital images edited through a variety of image editing tools. As a result of examining those registered during the digital image creation process, it was confirmed that differences from the original characteristics occurred in file structure and media logs when manipulating digital images on the iPhone, and digital images take with the iPhone. In this way, it shows that it can prove its forensic authentication in iPhone.

Inhibition Effect of Alcohol Production in Gochujang by Garlic and Chives Extract (마늘과 부추 추출물에 의한 고추장의 알코올 생성 억제 효과)

  • Se Mi Lim;Jong Suk Lee;Myunghee Kim
    • Journal of the FoodService Safety
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    • v.4 no.1
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    • pp.21-28
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    • 2023
  • Saccharomyces cerevisiae and Zygosaccharomyces rouxii are known to produce alcohol in gochujang. To reduce alcohol production, garlic and chives were applied to gochujang solution to find their inhibitory effect on S. cerevisiae and Z. rouxii. The 70% ethanol extract of garlic and chives showed significant inhibition activity against S. cerevisiae and Z. rouxii, showing growth inhibition zone of 14.00±0.00~25.33±0.58 mm by disc diffusion method. In addition, the addition of 70% ethanol extract of garlic and chives in 10% gochujang solution spiked with S. cerevisiae and Z. rouxii reduced the numbers of total aerobic bacteria (below 7 Log CFU/g) and yeast (below 4 Log CFU/g), alcohol content (below 0.30%), respectively. In conclusion, the addition of garlic ethanol (70%) extract or chives ethanol (70%) extract to gochujang inhibited the growth of S. cerevisiae and Z. rouxii, resulting in reduced alcohol content in gochujang. For further study, it is necessary to conduct food application experiments by using real gochujang paste.

SaaS application mashup based on High Speed Message Processing

  • Chen, Zhiguo;Kim, Myoungjin;Cui, Yun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1446-1465
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    • 2022
  • Diversified SaaS applications allow users more choices to use, according to their own preferences. However, the diversification of SaaS applications also makes it impossible for users to choose the best one. Furthermore, users can't take advantage of the functionality between SaaS applications. In this paper, we propose a platform that provides an SaaS mashup service, by extracting interoperable service functions from SaaS-based applications that independent vendors deploy and supporting a customized service recommendation function through log data binding in the cloud environment. The proposed SaaS mashup service platform consists of a SaaS aggregation framework and a log data binding framework. Each framework was concreted by using Apache Kafka and rule matrix-based recommendation techniques. We present the theoretical basis of implementing the high-performance message-processing function using Kafka. The SaaS mashup service platform, which provides a new type of mashup service by linking SaaS functions based on the above technology described, allows users to combine the required service functions freely and access the results of a rich service-utilization experience, using the SaaS mashup function. The platform developed through SaaS mashup service technology research will enable various flexible SaaS services, expected to contribute to the development of the smart-contents industry and the open market.