• Title/Summary/Keyword: 로그 처리

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Feasibility Study on Vitrification for Rare Earth Wastes of PyroGreen Process (파이로그린공정 희토류폐기물 유리화 타당성 연구)

  • Kim, Cheon-Woo;Lee, Byeong Gwan
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.11 no.1
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    • pp.1-9
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    • 2013
  • The rare earth oxide wastes consisting of major 8 nuclides Y, La, Ce, Pr, Nd, Sm, Eu and Gd, are generated during the salt waste treatment of PyroGreen process. The final form of the rare earth is generated as the oxide state. In this study, six candidate glasses were developed to evaluate the feasibility for vitrifying the rare earth oxide wastes within the borosilicate glass system. The solubilities of the mixture of the rare earth oxide waste showed less than 25wt% at $1,200^{\circ}C$, less than 30wt% at $1,300^{\circ}C$, respectively. It means that solubility is increased with the temperature increment. The liquidus temperature of the homogeneous glass with 20wt% waste loading was determined as less than $950^{\circ}C$. In more than solubility of rare earth oxides glass, formation of rare earth-oxide-silicate crystal in glass-ceramic occurred as the secondary phase. As their viscosity at melting temperature $1,200{\sim}1,300^{\circ}C$ was less than 100 poise, electrical conductivity was higher than 1 S/cm, 20~25wt% waste loading glasses with good surface homogeneity are judged to have good operability in cold crucible induction melter. Other physicochemical properties of the developed glasses are going to be experimented in the future.

Formant-broadened CMS Using the Log-spectrum Transformed from the Cepstrum (켑스트럼으로부터 변환된 로그 스펙트럼을 이용한 포먼트 평활화 켑스트럴 평균 차감법)

  • 김유진;정혜경;정재호
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.4
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    • pp.361-373
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    • 2002
  • In this paper, we propose a channel normalization method to improve the performance of CMS (cepstral mean subtraction) which is widely adopted to normalize a channel variation for speech and speaker recognition. CMS which estimates the channel effects by averaging long-term cepstrum has a weak point that the estimated channel is biased by the formants of voiced speech which include a useful speech information. The proposed Formant-broadened Cepstral Mean Subtraction (FBCMS) is based on the facts that the formants can be found easily in log spectrum which is transformed from the cepstrum by fourier transform and the formants correspond to the dominant poles of all-pole model which is usually modeled vocal tract. The FBCMS evaluates only poles to be broadened from the log spectrum without polynomial factorization and makes a formant-broadened cepstrum by broadening the bandwidths of formant poles. We can estimate the channel cepstrum effectively by averaging formant-broadened cepstral coefficients. We performed the experiments to compare FBCMS with CMS, PFCMS using 4 simulated telephone channels. In the experiment of channel estimation, we evaluated the distance cepstrum of real channel from the cepstrum of estimated channel and found that we were able to get the mean cepstrum closer to the channel cepstrum due to an softening the bias of mean cepstrum to speech. In the experiment of text-independent speaker identification, we showed the result that the proposed method was superior than the conventional CMS and comparable to the pole-filtered CMS. Consequently, we showed the proposed method was efficiently able to normalize the channel variation based on the conventional CMS.

Application of Integrated Security Control of Artificial Intelligence Technology and Improvement of Cyber-Threat Response Process (인공지능 기술의 통합보안관제 적용 및 사이버침해대응 절차 개선 )

  • Ko, Kwang-Soo;Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.59-66
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    • 2021
  • In this paper, an improved integrated security control procedure is newly proposed by applying artificial intelligence technology to integrated security control and unifying the existing security control and AI security control response procedures. Current cyber security control is highly dependent on the level of human ability. In other words, it is practically unreasonable to analyze various logs generated by people from different types of equipment and analyze and process all of the security events that are rapidly increasing. And, the signature-based security equipment that detects by matching a string and a pattern has insufficient functions to accurately detect advanced and advanced cyberattacks such as APT (Advanced Persistent Threat). As one way to solve these pending problems, the artificial intelligence technology of supervised and unsupervised learning is applied to the detection and analysis of cyber attacks, and through this, the analysis of logs and events that occur innumerable times is automated and intelligent through this. The level of response has been raised in the overall aspect by making it possible to predict and block the continuous occurrence of cyberattacks. And after applying AI security control technology, an improved integrated security control service model was newly proposed by integrating and solving the problem of overlapping detection of AI and SIEM into a unified breach response process(procedure).

Analyzing Time in Port and Greenhouse Gas Emissions of Vessels using Duration Model (생존분석모형을 이용한 선박의 재항시간 및 온실가스 배출량 분석)

  • Shin, Kangwon;Cheong, Jang-Pyo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4D
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    • pp.323-330
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    • 2010
  • The time in port for vessels is one of the important factors for analyzing the operation status and the capacity of ports. In addition, the time in port for vessels can be directly used for estimating the greenhouse gas emissions resulted from vessels in port. However, it is unclear which variables can affect the time in port for vessels and what the marginal effect of each variable is. With these challenges in mind, the study analyzes the time in port for vessels arriving and departing port of Busan by using a parametric survival model. The results show that the log-logistic accelerated failure time model is appropriate to explain the time in port for 19,167 vessels arriving and departing port of Busan in 2008, in which the time in port is significantly affected by gross tonnage of vessels, service capacity of terminal, and vessel type. This study also shows that the greenhouse gas emission resulted from full-container vessels, which accounted for about 61% of all vessels with loading/unloading purpose arriving and departing port of Busan in 2008, is about "17 ton/vessel" in the boundary of port of Busan. However, the hotelling greenhouse gas emissions resulted from non-container vessels (3,774 vessels; 20%) are greater than those from the full-container vessels. Hence, it is necessary to take into account more efficient port management polices and technologies to reduce the service time of non-container vessels in port of Busan.

Process development of a virally-safe dental xenograft material from porcine bones (바이러스 안전성이 보증된 돼지유래 골 이식재 제조 공정 개발)

  • Kim, Dong-Myong;Kang, Ho-Chang;Cha, Hyung-Joon;Bae, Jung Eun;Kim, In Seop
    • Korean Journal of Microbiology
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    • v.52 no.2
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    • pp.140-147
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    • 2016
  • A process for manufacturing virally-safe porcine bone hydroxyapatite (HA) has been developed to serve as advanced xenograft material for dental applications. Porcine bone pieces were defatted with successive treatments of 30% hydrogen peroxide and 80% ethyl alcohol. The defatted porcine bone pieces were heat-treated in an oxygen atmosphere box furnace at $1,300^{\circ}C$ to remove collagen and organic compounds. The bone pieces were ground with a grinder and then the bone powder was sterilized by gamma irradiation. Morphological characteristics such as SEM (Scanning Electron Microscopy) and TEM (Transmission Electron Microscopy) images of the resulting porcine bone HA (THE Graft$^{(R)}$) were similar to those of a commercial bovine bone HA (Bio-Oss$^{(R)}$). In order to evaluate the efficacy of $1,300^{\circ}C$ heat treatment and gamma irradiation at a dose of 25 kGy for the inactivation of porcine viruses during the manufacture of porcine bone HA, a variety of experimental porcine viruses including transmissible gastroenteritis virus (TGEV), pseudorabies virus (PRV), porcine rotavirus (PRoV), and porcine parvovirus (PPV) were chosen. TGEV, PRV, PRoV, and PPV were completely inactivated to undetectable levels during the $1,300^{\circ}C$ heat treatment. The mean log reduction factors achieved were $${\geq_-}4.65$$ for TGEV, $${\geq_-}5.81$$ for PRV, $${\geq_-}6.28$$ for PRoV, and $${\geq_-}5.21$$ for PPV. Gamma irradiation was also very effective at inactivating the viruses. TGEV, PRV, PRoV, and PPV were completely inactivated to undetectable levels during the gamma irradiation. The mean log reduction factors achieved were $${\geq_-}4.65$$ for TGEV, $${\geq_-}5.87$$ for PRV, $${\geq_-}6.05$$ for PRoV, and $${\geq_-}4.89$$ for PPV. The cumulative log reduction factors achieved using the two different virus inactivation processes were $${\geq_-}9.30$$ for TGEV, $${\geq_-}11.68$$ for PRV, $${\geq_-}12.33$$ for PRoV, and $${\geq_-}10.10$$ for PPV. These results indicate that the manufacturing process for porcine bone HA from porcine-bone material has sufficient virus-reducing capacity to achieve a high margin of virus safety.

A Design and Development of Big Data Indexing and Search System using Lucene (루씬을 이용한 빅데이터 인덱싱 및 검색시스템의 설계 및 구현)

  • Kim, DongMin;Choi, JinWoo;Woo, ChongWoo
    • Journal of Internet Computing and Services
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    • v.15 no.6
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    • pp.107-115
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    • 2014
  • Recently, increased use of the internet resulted in generation of large and diverse types of data due to increased use of social media, expansion of a convergence of among industries, use of the various smart device. We are facing difficulties to manage and analyze the data using previous data processing techniques since the volume of the data is huge, form of the data varies and evolves rapidly. In other words, we need to study a new approach to solve such problems. Many approaches are being studied on this issue, and we are describing an effective design and development to build indexing engine of big data platform. Our goal is to build a system that could effectively manage for huge data set which exceeds previous data processing range, and that could reduce data analysis time. We used large SNMP log data for an experiment, and tried to reduce data analysis time through the fast indexing and searching approach. Also, we expect our approach could help analyzing the user data through visualization of the analyzed data expression.

Using High Brightness LED Light Source Controller for Machine Vision (고휘도 LED를 이용한 머신비전용 조명광원 제어기 개발)

  • Park, Yang-Jae
    • Journal of Digital Convergence
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    • v.12 no.4
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    • pp.311-318
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    • 2014
  • This paper is to introduce a lighting source controller using high brightness LED to create a clear and reliable condition for an accurate measurement and testing, which is a core technology in clinical image system and mechanical automation system. This controller is designed to supply a stable power in a constant-current system by installing a high brightness LED driver, and to improve the reproducibility of brightness by using 32-bit ARM processor core, dividing brightness quantity into 256 levels, making the remote control and the external interface possible, and preventing and digitizing the brightness inaccuracy caused by errors of resistance values. This controller enables the lighting range to be wide and possible in a low lighting level compared to analog, adds the RS-485 communication function, and makes it for the users to control the on-off function and the dimming level by receiving date from an external device.

Research of Soft-Interface Creation and Provision Methodology According to Applications Based on Mobile Device Environment (모바일 디바이스 환경에서 어플리케이션에 따른 소프트 인터페이스 제작 및 제공 방안 연구)

  • Cho, Changhee;Park, Sanghyun;Lee, Sang-Joon;Kim, Jinsul
    • Journal of Digital Contents Society
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    • v.14 no.4
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    • pp.513-519
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    • 2013
  • In this paper, we provide interfaces according to user application environments and provide tools through web-site that users can create interface to apply a wide range of application environment. HTML5 is used in the creation processing, so users can create various interfaces by dragging mouse and apply it to multimedia, game applications as well as documents by using the ASCII code and key events that are provided in the Android OS. Database of interfaces is stored in HDFS (Hadoop Distributed File System) based on Hadoop for management and users can have their own designed interface or select interfaces through simple login any time. In order to provide interface quickly, HIVE based on Hadoop is used for search and the data is provided in XML file which smart mobile can process quickly.

HVS Model-based Watermarking Robust to Lossy Compression, Cropping, and Scaling (유손실 압축, 잘라내기 및 신축에 대해 견고한 HVS 모델 기반 워터마킹)

  • Hong, Su-Gi;Jo, Sang-Hyeon;Choe, Heung-Mun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.5
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    • pp.548-555
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    • 2001
  • In this paper, we proposed a HVS(human visual system) model-based digital image watermarking which is not only invariant to rotation and translation but also more robust to lossy compression, cropping, and scaling as compared to the conventional method. Fourier transform and log-polar mapping is used to make the proposed algorithm invariant to rotation and translation, and in addition, watermark energy is embedded maximally based on spatial frequency sensitivity of HVS without the deterioration of the invisibility. As a result, the robustness of watermarking is improved both in general image processing operations such as cropping, low pass filtering, and lossy compression and in geometrical transforms such as rotation, translation, and scaling. And, by disjoint embedding of the watermark and the template without intersection, the deterioration of invisibility and robustness is prevented. Experimental results show that proposed watermarking is about 30~75 [%] more robust af compared to the conventional methods.

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CGRID construction based on Etherboot technology and its utilization to sequence analysis (Etherboot 기반의 CGRID 구축과 서열분석에의 적용)

  • Kim Tae-Kyung;Cho Wan-Sup
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.195-208
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    • 2005
  • Recently, amount of the data such as sequences is being increased rapidly due to deploying computational technique and advance of experiment tools in the biological areas. In bioinformatics, it is very significant to extract the knowledge from such huge biological data. Sequence comparisons are most frequently used to predict the function of the genes or proteins. However it takes so much time to process the persistently increasing data In this paper, we propose hardware-based grid, CGRID(Chungbuk National University GRID), to improve performance and complement existing middleware-only approach and apply it in the sequence comparison. Hardware-based approach is easy to construct, maintain, and manage the grid as not requiring the software installation individually for every node. We reduce orthologous database construction time from 33 weeks to just a week. Furthermore, CGRID guarantees that the performance increases proportionally as adding the nodes.

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