• Title/Summary/Keyword: techniques life cycle

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Type-tested of Accessories for 345kV Oil Filled Cable (345kV OF 케이블용 부속재의 인정시험완료)

  • Lee, S.K.;Choi, S.G.;Kim, K.S.;Lee, K.H.;Jeon, S.I.;Huh, G.D.;Park, W.K.;Choi, M.K.;Lee, S.H.;Kim, S.J.
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.261-264
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    • 1997
  • Joints and terminations for 345kV Oil Filled $1C{\times}2000mm^2$ cable have been developed and tested including BPT (Bellows Pressure Tank) on the bases of various ultra-high voltage technologies. Electrical design was performed by using Finite Element Method. The type test certified by KEPCO (Korea Electric Power Corporation) has been performed as the final stage of development. In order to confirm the reliability of long-term life for 30 years, load cycle test was conducted for 30 days with good result. As the result, the techniques we obtained from this development are applicable to higher voltage level systems (i.e. 765 kV).

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A semi-automated method for integrating textural and material data into as-built BIM using TIS

  • Zabin, Asem;Khalil, Baha;Ali, Tarig;Abdalla, Jamal A.;Elaksher, Ahmed
    • Advances in Computational Design
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    • v.5 no.2
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    • pp.127-146
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    • 2020
  • Building Information Modeling (BIM) is increasingly used throughout the facility's life cycle for various applications, such as design, construction, facility management, and maintenance. For existing buildings, the geometry of as-built BIM is often constructed using dense, three dimensional (3D) point clouds data obtained with laser scanners. Traditionally, as-built BIM systems do not contain the material and textural information of the buildings' elements. This paper presents a semi-automatic method for generation of material and texture rich as-built BIM. The method captures and integrates material and textural information of building elements into as-built BIM using thermal infrared sensing (TIS). The proposed method uses TIS to capture thermal images of the interior walls of an existing building. These images are then processed to extract the interior walls using a segmentation algorithm. The digital numbers in the resulted images are then transformed into radiance values that represent the emitted thermal infrared radiation. Machine learning techniques are then applied to build a correlation between the radiance values and the material type in each image. The radiance values were used to extract textural information from the images. The extracted textural and material information are then robustly integrated into the as-built BIM providing the data needed for the assessment of building conditions in general including energy efficiency, among others.

Parametric Study of Gas Turbine Engine Disc using Axisymmetry and Sector Analysis Model (축대칭 및 섹터 해석 모델을 활용한 가스터빈 엔진 디스크의 형상 변수 고찰)

  • Huh, Jae Sung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.6
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    • pp.769-774
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    • 2013
  • Turbine blades and disc, which are one of the most important rotating parts of a gas turbine engine, are required to have highly efficient performance in order to minimize the total life cycle costs. Owing to these requirements, these components are exposed to severe conditions such as extreme turbine inlet temperatures, high compression ratios, and high speeds. To evaluate the structural integrity of a turbine disc under these conditions, material modeling and finite element analysis techniques are essential; furthermore, shape optimization is necessary for determining the optimal solution. This study aims to generate 2D finite element models of an axisymmetry model and a sector one and to perform thermal-structural coupled-field analysis and contact analysis. Structurally vulnerable areas such as the disc bore and disc-blade interface region are analyzed by a parametric study. Finally, an improved design is provided based on the results, and the necessity of elaborate shape optimization is confirmed.

Design and Implementation of a Low-level Storage Manager for Efficient Storage and Retrieval of Multimedia Data in NOD Services (NoD서비스용 멀티미디어 데이터의 효율적인 저장 및 검색을 위한 하부저장 관리자의 설계 및 구현)

  • Jin, Ki-Sung;Jung, Jae-Wuk;Chang, Jae-Woo
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.4
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    • pp.1033-1043
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    • 2000
  • Recently as the user request on NoD (News-on-Demand) is largely increasing, there are a lot of researches to fulfill it. However, because of short life-cycle of new video data and periodical change of video data depending on anchor, it is difficult to apply the conventional video storage techniques to NOD applications directly. For this, we design and implement low-level storage manager for efficient storage and retrieval of multimedia data in NOD Services. Our low-level storage manager not only efficiently sotres video stream dat of new video itself, but also handles its index information. It provides an inverted file method for efficient text-based retrieval and an X-tree index structure for high-dimensional feature vectors. In addition, our low-level storage manager provides some application program interfaces (APIs) for storing video objects itself and index information extracted from hierarchial new video and some APIs for retrieving video objects easily by using cursors. Finally, we implement our low-level storage manager based on SHORE (Scalable Heterogeneous Object REpository) storage system by sunig a standard C++ language under UNIX operating system.

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Predicting Movie Success based on Machine Learning Using Twitter (트위터를 이용한 기계학습 기반의 영화흥행 예측)

  • Yim, Junyeob;Hwang, Byung-Yeon
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.7
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    • pp.263-270
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    • 2014
  • This paper suggests a method for predicting a box-office success of the film. Lately, as the growth of the film industry, a variety of studies for the prediction of market demand is being performed. The product life cycle of film is relatively short cultural goods. Therefore, in order to produce stable profits, marketing costs before opening as well as the number of screen after opening need a plan. To fulfill this plan, the demand for the product and the calculation of economic profit scale should be preceded. The cases of existing researches, as a variable for predicting, primarily use the factors of competition of the market or the properties of the film. However, the proportion of the potential audiences who purchase the goods is relatively insufficient. Therefore, in this paper, in order to consider people's perception of a movie, Twitter was utilized as one of the survey samples. The existing variables and the information extracted from Twitter are defined as off-line and on-line element, and applied those two elements in machine learning by combining. Through the experiment, the proposed predictive techniques are validated, and the results of the experiment predicted the chance of successful film with about 95% of accuracy.

Coupling Metrics for Web Pages Clustering in Restructuring of Web Applications (웹 어플리케이션 재구조화를 위한 클러스터링에 사용되는 결합도 메트릭)

  • Lee, En-Joo;Park, Gen-Duk
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.3
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    • pp.75-84
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    • 2007
  • Due to the increasing complexity and shorter life cycle of web applications, web applications need to be restructured to improve flexibility and extensibility. These days approaches are being used where systems are understood and restructured through clustering techniques. In this paper, the coupling metrics are proposed for clustering web pages more effectively. To achieve this, web application models are defined, where the relationship between web pages and the numbers of parameters are included. Considering direct and indirect coupling strength based on these models, coupling metrics are defined. The more direct relations between two pages and the more parameters they have, the stronger direct coupling is. The higher indirect connectivity strength between two pages is, the more similar the patterns of relationships among other web pages are. We verify the suggested metrics according to the well known verification framework and provide a case study to show that our metrics complements some existing metrics.

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Study on the Appropriateness of Track Maintenance Works through the Evaluation of Trackbed Conditions (도상 및 노반상태 평가를 통한 궤도유지보수작업의 적정성 연구)

  • Kim, Dae-Sang;Kwon, Soon-Sup;Lee, Su-Hyung;Hwang, Seon-Keun;Park, Tae-Soon
    • Journal of the Korean Society for Railway
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    • v.11 no.3
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    • pp.334-341
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    • 2008
  • Ballast track needs maintenance works because it is supported by the compressible trackbed and subgrade layers. Maintenance works are essential to secure riding comfort and extend the life cycle of it. The necessities of maintenance works are determined from track irregularities measured by EM120. Track irregularities is the results of the track deformation. Therefore, it is natural to evaluate the cause of it. This paper focuses on the points the track irregularities come from the trackbed and the subgrade. Nondestructive techniques, such as Ground Penetrating Radar (GPR) and Portable Falling Weight Deflectometer (PFWD) are applied to evaluate the trackbed conditions, ballast layer thickness and vertical track stiffness, in the test section 500m long of Gyungbu line. The trackbed investigation results are compared with the track irregularities measured by EM120 and maintenance works. Conclusively, it was found that some maintenance works were unnecessary on the test section.

Analysis of Microbial Communities Using Culture-dependent and Culture-independent Approaches in an Anaerobic/Aerobic SBR Reactor

  • Lu Shipeng;Park Min-Jeong;Ro Hyeon-Su;Lee Dae-Sung;Park Woo-Jun;Jeon Che-Ok
    • Journal of Microbiology
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    • v.44 no.2
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    • pp.155-161
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    • 2006
  • Comparative analysis of microbial communities in a sequencing batch reactor which performed enhanced biological phosphorus removal (EBPR) was carried out using a cultivation-based technique and 16S rRNA gene clone libraries. A standard PCR protocol and a modified PCR protocol with low PCR cycle was applied to the two clone libraries of the 16S rRNA gene sequences obtained from EBPR sludge, respectively, and the resulting 424 clones were analyzed using restriction fragment length polymorphisms (RFLPs) on 16S rRNA gene inserts. Comparison of two clone libraries showed that the modified PCR protocol decreased the incidence of distinct fragment patterns from about 63 % (137 of 217) in the standard PCR method to about 34 % (70 of 207) under the modified protocol, suggesting that just a low level of PCR cycling (5 cycles after 15 cycles) can significantly reduce the formation of chimeric DNA in the final PCR products. Phylogenetic analysis of 81 groups with distinct RFLP patterns that were obtained using the modified PCR method revealed that the clones were affiliated with at least 11 phyla or classes of the domain Bacteria. However, the analyses of 327 colonies, which were grouped into just 41 distinct types by RFLP analysis, showed that they could be classified into five major bacterial lineages: ${\alpha},\;{\beta},\;{\gamma}-$ Proteobacteria, Actinobacteria, and the phylum Bacteroidetes, which indicated that the microbial community yielded from the cultivation-based method was still much simpler than that yielded from the PCR-based molecular method. In this study, the discrepancy observed between the communities obtained from PCR-based and cultivation-based methods seems to result from low culturabilities of bacteria or PCR bias even though modified culture and PCR methods were used. Therefore, continuous development of PCR protocol and cultivation techniques is needed to reduce this discrepancy.

A Study of Web Hacking Response Procedures Model based on Diagnosis Studies for Cross-Site Scripting (XSS)Process (Cross-Site Scripting(XSS) 프로세스 진단을 기반으로 한 웹 해킹 대응절차 모델 연구)

  • Noh, SiChoon
    • Convergence Security Journal
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    • v.13 no.6
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    • pp.83-89
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    • 2013
  • When applying web hacking techniques and methods it needs to configure the integrated step-by-step and run an information security. Web hackings rely upon only one way to respond to any security holes that can cause a lot. In this study the diagnostic process of cross-site scripting attacks and web hacking response procedures are designed. Response system is a framework for configuring and running a step-by-step information security. Step response model of the structure of the system design phase, measures, operational step, the steps in the method used. It is designed to secure efficiency of design phase of the system development life cycle, and combines the way in secure coding. In the use user's step, the security implementation tasks to organize the details. The methodology to be applied to the practice field if necessary, a comprehensive approach in the field can be used as a model methodology.

Design of a CMOS Image Sensor Based on a Low Power Single-Slope ADC (저전력 Single-Slope ADC를 사용한 CMOS 이미지 센서의 설계)

  • Kwon, Hyuk-Bin;Kim, Dae-Yun;Song, Min-Kyu
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.48 no.2
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    • pp.20-27
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    • 2011
  • A CMOS Image Sensor(CIS) mounted on mobile appliances always needs a low power consumption because of the battery life cycle. In this paper, we propose novel power reduction techniques such as a data flip-flop circuit with leakage current elimination, a low power single slope A/D converter with a novel comparator, and etc. Based on 0.13um CMOS process, the chip satisfies QVGA resolution($320{\times}240$ pixels) whose pitch is 2.25um and whose structure is 4-Tr active pixel sensor. From the experimental results, the ADC in the middle of CIS has a 10-b resolution, the operating speed of CIS is 16 frame/s, and the power dissipation is 25mW at 3.3V(Analog)/1.8V(Digital) power supply. When we compare the proposed CIS with conventional ones, the power consumption is reduced approximately by 22% in sleep mode, 20% in operating mode.