• Title/Summary/Keyword: mapping method

Search Result 2,602, Processing Time 0.03 seconds

Construction of an ISO 15926-based Reference Data Server Using iRINGTools and Its Application (iRINGTools를 활용한 ISO 15926 기반 기자재 참조 데이터 서버의 구축과 활용)

  • Kim, Bongcheol;Park, Sangjin;Kwon, Soonjo;Byon, Su-jin;Mun, Duhwan;Han, Soonhung
    • Korean Journal of Computational Design and Engineering
    • /
    • v.22 no.2
    • /
    • pp.150-161
    • /
    • 2017
  • Effective data exchange among the diverse stakeholders participating in a process plant project is an important issue. ISO 15926 is an international standard to support sharing and integrating of process plant data. iRINGTools is an ISO 15926-based tool used to exchange plant data. To exchange plant data using iRINGTools, the mapping between the data model of a commercial system and ISO 15926 should be preceded. To accomplish this, types and properties of equipment and materials used for plant design should be predefined and these data should be represented as user-defined reference data complying with ISO 15926. Besides, the user-defined reference data should be serviced by a reference data server such that iRINGTools searches reference data from the server and utilizes the data for the model mapping. In this paper, we present a method to construct a reference data server and use it for the model mapping in iRINGTools. The proposed method is verified through experiments of exchanging specifications data of equipment and materials using iRINGTools.

Gate Cost Reduction Policy for Direct Irreversible-to-Reversible Mapping Method without Reversible Embedding (가역 임베딩 없는 직접적 비가역-가역회로 매핑 방법의 게이트비용 절감 방안)

  • Park, Dong-Young;Jeong, Yeon-Man
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.9 no.11
    • /
    • pp.1233-1240
    • /
    • 2014
  • For the last three decades after the advent of the Toffoli gate in 1980, while many reversible circuit syntheses have been presented reversible embedding methods onto suitable reversible functions, only a few proposed direct irreversible-to-reversible mapping methods without reversible embedding. In this paper we present two effective policies to reduce the gate cost and complexity for the existing direct reversible mapping methods without reversible embedding. In order to develop new cost reduction policies we consider the cost influence of Toffoli module according to NOT gate arrangement in classical circuits. From this we deduced an inverse proportional property between inverting input numbers of classical AND/OR gates and reversible Toffoli module cost based on a fact - the inverting inputs of classical AND(OR) gates increase(decrease) the Toffoli module cost. We confirm the applications of the inverting input rearrangement and maximum fan-out policies preceding direct reversible mapping will be effective method to improve the reversible Toffoli module cost and complexity with the parallel using of the fan-out and supercell ones.

Bayesian Analysis and Mapping of Elderly Korean Suicide Rates (베이지안 모형을 활용한 국내 노인 자살률 질병지도)

  • Lee, Jayoun;Kim, Dal Ho
    • The Korean Journal of Applied Statistics
    • /
    • v.28 no.2
    • /
    • pp.325-334
    • /
    • 2015
  • Elderly suicide rates tend to be high in Korea. Suicide by the elderly is no longer a personal problem; consequently, further research on risk and regional factors is necessary. Disease mapping in epidemiology estimates spatial patterns for disease risk over a geographical region. In this study, we use a simultaneous conditional autoregressive model for spatial correlations between neighboring areas to estimate standard mortality ratios and mapping. The method is illustrated with cause of death data from 2006 and 2010 to analyze regional patterns of elderly suicide in Korea. By considering spatial correlations, the Bayesian spatial models, mean educational attainment and percentage of the elderly who live alone was the significant regional characteristic for elderly suicide. Gibbs sampling and grid method are used for computation.

Geometry-to-BIM Mapping Rule Definition for Building Plane BIM object (건축물 평면 형상에 대한 형상-to-BIM 맵핑 규칙 정의)

  • Kang, Tae-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.20 no.10
    • /
    • pp.236-242
    • /
    • 2019
  • Recently, scanning projects have been carried out in various construction and construction fields for maintenance purposes. The point cloud generated by the scan results is composed of a number of points representing the object to be scanned. The process of extracting the necessary information, including dimensions, from such scan data is called paradox. The reverse engineering process of modeling a point cloud as BIM involves considerable manual work. Owing to the time-consuming reverse engineering nature of the work, the costs increase exponentially when rework requests are made, such as design changes. Reverse engineering automation technology can help improve these problems. On the other hand, the reverse design product is variable depending on the use, and the kind and detail level of the product may be different. This paper proposes the G2BM (Geometry-to-BIM mapping) rule definition method that automatically maps a BIM object from a primitive geometry to a BIM object. G2BM proposes a process definition and a customization method for reverse engineering BIM objects that consider the use case variability.

Method to Improve Localization and Mapping Accuracy on the Urban Road Using GPS, Monocular Camera and HD Map (GPS와 단안카메라, HD Map을 이용한 도심 도로상에서의 위치측정 및 맵핑 정확도 향상 방안)

  • Kim, Young-Hun;Kim, Jae-Myeong;Kim, Gi-Chang;Choi, Yun-Soo
    • Korean Journal of Remote Sensing
    • /
    • v.37 no.5_1
    • /
    • pp.1095-1109
    • /
    • 2021
  • The technology used to recognize the location and surroundings of autonomous vehicles is called SLAM. SLAM standsfor Simultaneously Localization and Mapping and hasrecently been actively utilized in research on autonomous vehicles,starting with robotic research. Expensive GPS, INS, LiDAR, RADAR, and Wheel Odometry allow precise magnetic positioning and mapping in centimeters. However, if it can secure similar accuracy as using cheaper Cameras and GPS data, it will contribute to advancing the era of autonomous driving. In this paper, we present a method for converging monocular camera with RTK-enabled GPS data to perform RMSE 33.7 cm localization and mapping on the urban road.

A Study in the Efficient Collection and Integration of a Sensed Data in a Cloud Computing Environment (클라우드 컴퓨팅 환경에서 센싱된 데이터의 효율적 수집 및 통합에 관한 연구)

  • Hwang, Chi-Gon;Yoon, Chang-Pyo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2016.10a
    • /
    • pp.324-325
    • /
    • 2016
  • The sensor network-based service collects data by using the sensor, the data is aware of the situation via the analysis, and the service provider provides a service suitable for the user via the context-awareness. However, this data is generated, it is difficult to match the metadata and standard units. The data integration is required to use the data generated by the different specifications of the sensor efficiently. Accordingly, in this paper we propose a method using an ontology as a method to integrate the data generated by the existing sensors and the new sensor. The ontology is mapping to the standard item and sensors, also include a type and structural difference. The mapping is comprised of two:data mapping, and metadata mapping. There are standard items that are created in this way, type of data exchange between services. This can solve the heterogeneous problem generated by sensors.

  • PDF

Development of noise mapping system to manage the interior room noise of power plants (발전소의 실내 소음관리를 위한 소음 매핑 시스템 개발)

  • Kim, Young-Il;Kim, Won-Jin
    • The Journal of the Acoustical Society of Korea
    • /
    • v.40 no.1
    • /
    • pp.92-98
    • /
    • 2021
  • The noise management in the interior of the power plant is difficult because the interior is large and the noise level varies greatly from location to location. Therefore, a noise visualization system capable of analyzing the noise distribution is required in order to effectively manage the interior noise. A noise mapping system was developed that can model the inside of the turbine room and create a noise map by measuring the noise level at selected points. And in order to increase the reliability of the model, the model was modified through a method of comparing the noise map and the actual noise measurement results. Facility abnormalities can be determined through regular analysis of noise maps, and a method of effectively managing the interior noise is presented by comparing and analyzing the frequencies and levels of the current and previous noise at a specific point. By using the mapping system, it is possible to establish noise countermeasures that can improve the working environment, check the machine for abnormalities, and increase the reliability of the facility through preventive maintenance.

A Memory Mapping Technique to Reduce Data Retrieval Cost in the Storage Consisting of Multi Memories (다중 메모리로 구성된 저장장치에서 데이터 탐색 비용을 줄이기 위한 메모리 매핑 기법)

  • Hyun-Seob Lee
    • Journal of Internet of Things and Convergence
    • /
    • v.9 no.1
    • /
    • pp.19-24
    • /
    • 2023
  • Recently, with the recent rapid development of memory technology, various types of memory are developed and are used to improve processing speed in data management systems. In particular, NAND flash memory is used as a main media for storing data in memory-based storage devices because it has a nonvolatile characteristic that it can maintain data even at the power off state. However, since the recently studied memory-based storage device consists of various types of memory such as MRAM and PRAM as well as NAND flash memory, research on memory management technology is needed to improve data processing performance and efficiency of media in a storage system composed of different types of memories. In this paper, we propose a memory mapping scheme thought technique for efficiently managing data in the storage device composed of various memories for data management. The proposed idea is a method of managing different memories using a single mapping table. This method can unify the address scheme of data and reduce the search cost of data stored in different memories for data tiering.

Research on Object Detection Library Utilizing Spatial Mapping Function Between Stream Data In 3D Data-Based Area (3D 데이터 기반 영역의 stream data간 공간 mapping 기능 활용 객체 검출 라이브러리에 대한 연구)

  • Gyeong-Hyu Seok;So-Haeng Lee
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.19 no.3
    • /
    • pp.551-562
    • /
    • 2024
  • This study relates to a method and device for extracting and tracking moving objects. In particular, objects are extracted using different images between adjacent images, and the location information of the extracted object is continuously transmitted to provide accurate location information of at least one moving object. It relates to a method and device for extracting and tracking moving objects based on tracking moving objects. People tracking, which started as an expression of the interaction between people and computers, is used in many application fields such as robot learning, object counting, and surveillance systems. In particular, in the field of security systems, cameras are used to recognize and track people to automatically detect illegal activities. The importance of developing a surveillance system, that can detect, is increasing day by day.

Voice Personality Transformation Using a Multiple Response Classification and Regression Tree (다중 응답 분류회귀트리를 이용한 음성 개성 변환)

  • 이기승
    • The Journal of the Acoustical Society of Korea
    • /
    • v.23 no.3
    • /
    • pp.253-261
    • /
    • 2004
  • In this paper, a new voice personality transformation method is proposed. which modifies speaker-dependent feature variables in the speech signals. The proposed method takes the cepstrum vectors and pitch as the transformation paremeters, which represent vocal tract transfer function and excitation signals, respectively. To transform these parameters, a multiple response classification and regression tree (MR-CART) is employed. MR-CART is the vector extended version of a conventional CART, whose response is given by the vector form. We evaluated the performance of the proposed method by comparing with a previously proposed codebook mapping method. We also quantitatively analyzed the performance of voice transformation and the complexities according to various observations. From the experimental results for 4 speakers, the proposed method objectively outperforms a conventional codebook mapping method. and we also observed that the transformed speech sounds closer to target speech.