• Title/Summary/Keyword: BIG4

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Outlier detection of main engine data of a ship using ensemble method (앙상블 기법을 이용한 선박 메인엔진 빅데이터의 이상치 탐지)

  • KIM, Dong-Hyun;LEE, Ji-Hwan;LEE, Sang-Bong;JUNG, Bong-Kyu
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.56 no.4
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    • pp.384-394
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    • 2020
  • This paper proposes an outlier detection model based on machine learning that can diagnose the presence or absence of major engine parts through unsupervised learning analysis of main engine big data of a ship. Engine big data of the ship was collected for more than seven months, and expert knowledge and correlation analysis were performed to select features that are closely related to the operation of the main engine. For unsupervised learning analysis, ensemble model wherein many predictive models are strategically combined to increase the model performance, is used for anomaly detection. As a result, the proposed model successfully detected the anomalous engine status from the normal status. To validate our approach, clustering analysis was conducted to find out the different patterns of anomalies the anomalous point. By examining distribution of each cluster, we could successfully find the patterns of anomalies.

Properties of Porous SiC Ceramics Prepared by Wood Template Method

  • Ha, Jung-Soo;Lim, Byong-Gu;Doh, Geum-Hyun;Kang, In-Aeh;Kim, Chang-Sam
    • Journal of the Korean Ceramic Society
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    • v.47 no.4
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    • pp.308-311
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    • 2010
  • Porous SiC samples were prepared with three types of wood (poplar, pine, big cone pine) by simply embedding the wood charcoal in a powder mixture of Si and $SiO_2$ at 1600 and $1700^{\circ}C$. The basic engineering properties such as density, porosity, pore size and distribution, and strength were characterized. The samples showed full conversion to mostly $\beta$-SiC with good retention of the cellular structure of the original wood. More rigid SiC struts were developed for $1700^{\circ}C$. They showed similar bulk density ($0.5{\sim}0.6\;g/cm^3$) and porosity (81~84%) irrespective of the type of wood. The poplar sample showed three pore sizes (1, 8, $60\;{\mu}m$) with a main size of $60\;{\mu}m$. The pine sample showed a single pore size ($20\;{\mu}m$). The big cone pine sample showed two pore sizes (10, $80\;{\mu}m$) with a main size of $10\;{\mu}m$. The bend strength was 2.5 MPa for poplar, 5.7 MPa for pine, 2.8 MPa for big cone pine, indicating higher strength with pine.

A Study on To Kill a Mockingbird As 'One Book' ('한 권의 책'으로서 『앵무새 죽이기』에 관한 연구)

  • Yoon, Cheong-Ok
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.4
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    • pp.115-133
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    • 2014
  • The purpose of this study is to understand the value of the book, To Kill a Mockingbird by Harper Lee as the most favored 'One Book' and the goals of the 'One Book, One City' programs which selected this particular book. A total of 86 'One Book' programs from 2001 through 2014 and 138 The Big Read programs from 2007 through 2015 selected To Kill a Mockingbird as 'One Book' to read. With this book, many communities discussed the sympathy toward the dignity of human being with such subjects as courage, justice, and integrity, and presented its value through book discussions, various programs and events.

A Study on the Effect of Gathering made by Gathering Conditions (개더 조건에 따른 개더 효과에 관한 연구)

  • 이명희;정희경
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.6
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    • pp.776-783
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    • 2004
  • The purpose of this study was to identify the reasonable gathering conditions as consider of effect of gathering and variation of silhouette made by gathering conditions. The experimental design consists of four factorial design: (1) three kinds of different weight and different thickness fabrics (2) three kinds of different stitch densities (3) five kinds of different ratio of gathers (4) three kinds of different angles. Therefore one hundred thirty five (135) samples were made. Data analysis utilize SPSS WIN 10.0 Package. The results of this study were as follows: 1. In the aspect of fabrics, it is shown the visual propriety that it is as thin as the small stitch, and as thick as the big stitch. 2. As stitch densities, it shows the different stabilized nodes. 3. In the aspect of ratio of gathers, it is shown the visual propriety that a few was small stitches, which help formations of nodes, and a lot were big stitches, which help increased the effect of gather. 4. In the aspect of angle of bias, the drape appearance was excellent as a sample of cutting by 0 angle(0$^{\circ}$) of bias. The big stitches that help formations of stabilized nodes, and a case of cutting by 45 angle(45$^{\circ}$) of bias was small stitch.

Deep Learning City: A Big Data Analytics Framework for Smart Cities (딥러닝 시티: 스마트 시티의 빅데이터 분석 프레임워크 제안)

  • Kim, Hwa-Jong
    • Informatization Policy
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    • v.24 no.4
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    • pp.79-92
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    • 2017
  • As city functions develop more complex and advanced, interests in smart cities are also increasing. Smart cities refer to the cities effectively solving urban problems such as traffic, safety, welfare, and living issues by utilizing ICT. Recently, many countries are attempting to introduce big data, Internet of Things, and artificial intelligence into smart cities, but they have not yet developed into comprehensive urban services. In this paper, we review the current status of domestic and overseas smart cities and suggest ways to solve issues of data sharing and service compatibility. To this end, we propose a "Deep Learning City Framework" that incorporates the deep learning technology into smart city services, and propose a new smart city strategy that safely shares spatial and temporal data in cities and converges learning data of various cities.

The Adoption of Risk Based Audit Approach in the Independent Audit Firms: A Study of Case of Vietnam

  • LE, Thi Tam;NGUYEN, Thi Mai Anh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.2
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    • pp.89-97
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    • 2020
  • This study was conducted to examine how independent audit firms in Vietnam understand and use risk based audit approach (RBAA) in audit practice. To answer the research questions, the researchers used primary and secondary data collected from 2018 to 2019. The results from the interview survey showed that audit firms were aware of the advantages of adopting RBAA. However, RBAA is practiced to a moderate extent by audit firms in Vietnam. Big 4 audit firms use RBAA more popularly than Non-Big 4 audit firms. The causes of the difference are the disadvantages of adopting RBAA and client's characteristics such as relevant guideline, audit fees, auditors' knowledge and experience. Besides, the study investigated factors impacting on the RBAA adoption by distributing a questionnaire to 246 auditors of 126 audit firms in Vietnam. A set of statistical appropriate methods where used through SPSS software version 22.0. The results indicated that there were six factors influencing RBAA adoption including: Auditor's ability, Technological development, Audit fees, auditors' motivation, Audit time and client's risk. Of which, auditor's ability and technological development are factors that have the most significant and positive impacts on the adoption of RBAA. Additional implications were argued in the final section of this study.

Big Data Refining System for Environmental Sensor of Continuous Manufacturing Process using IIoT Middleware Platform (IIoT 미들웨어 플랫폼을 활용한 연속 제조공정의 환경센서 빅데이터 정제시스템)

  • Yoon, Yeo-Jin;Kim, Tea-Hyung;Lee, Jun-Hee;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.219-226
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    • 2018
  • IIoT(Industrial Internet of Thing) means that all manufacturing processes are informed beyond the conventional automation of process automation. The objective of the system is to build an information system based on the data collected from the sensors installed in each process and to maintain optimal productivity by managing and automating each process in real time. Data collected from sensors in each process is unstructured and many studies have been conducted to collect and process such unstructured data effectively. In this paper, we propose a system using Node-RED as middleware for effective big data collection and processing.

A Study on the Plan Type of Anchae of Folk Houses in Jeoun-Nam Province (전남지방 민가의 안채 평면형 연구)

  • Kim, Ji-Min
    • Journal of architectural history
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    • v.14 no.4 s.44
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    • pp.197-211
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    • 2005
  • The purpose of this study is to find out the plan type of traditional folk housing in Jeoun-Nam Province. The building time of these houses is mainly from early 19C to early 20C and about 1,000 houses have been investigated. The conclusion of this research is 1. Small house is composed of kitchen, one or two rooms and Marae(the place of storage and sacrificial rite). Big house has one more room and one more storage in comparison with the small house. Marae and Jeoungjibang(a room which is in front of kitchen) are characteristic rooms of folk house in Jeoun-Nam Province. 2. The plan type varies in Jeoun-Nam Province. '-'type is a main type of layout and it is arranged a kitchen, a big room, a Marae and a small room in order. In the big house, jeoungjibang(the third room) is added. 3. In the southwestern Island area, no room is arranged beside Marae. Marae has characteristic confucian order because it is the place of sacrificial rite. Therefore there is a great difference in comparison with other area. 4. In the mountain area such as Gurae, there are some houses which have two rooms arranged up and down in one side; that is, upside is Marae and downside is small room. This type is called Kyump Jip.

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A Study on Word Cloud Techniques for Analysis of Unstructured Text Data (비정형 텍스트 테이터 분석을 위한 워드클라우드 기법에 관한 연구)

  • Lee, Won-Jo
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.715-720
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    • 2020
  • In Big data analysis, text data is mostly unstructured and large-capacity, so analysis was difficult because analysis techniques were not established. Therefore, this study was conducted for the possibility of commercialization through verification of usefulness and problems when applying the big data word cloud technique, one of the text data analysis techniques. In this paper, the limitations and problems of this technique are derived through visualization analysis of the "President UN Speech" using the R program word cloud technique. In addition, by proposing an improved model to solve this problem, an efficient method for practical application of the word cloud technique is proposed.

Personal Recommendation Service Design Through Big Data Analysis on Science Technology Information Service Platform (과학기술정보 서비스 플랫폼에서의 빅데이터 분석을 통한 개인화 추천서비스 설계)

  • Kim, Dou-Gyun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.28 no.4
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    • pp.501-518
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    • 2017
  • Reducing the time it takes for researchers to acquire knowledge and introduce them into research activities can be regarded as an indispensable factor in improving the productivity of research. The purpose of this research is to cluster the information usage patterns of KOSEN users and to suggest optimization method of personalized recommendation service algorithm for grouped users. Based on user research activities and usage information, after identifying appropriate services and contents, we applied a Spark based big data analysis technology to derive a personal recommendation algorithm. Individual recommendation algorithms can save time to search for user information and can help to find appropriate information.