• Design & Manufacturing
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• 제15권4호
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• pp.24-31
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• 2021

In this study, an artificial neural network model was constructed to convert CAE analysis data into similar experimental data. In the analysis and experiment, the injection molding data for 50 conditions were acquired through the design of experiment and random selection method. The injection molding conditions and the weight, height, and diameter of the product derived from CAE results were used as the input parameters for learning of the convert model. Also the product qualities of experimental results were used as the output parameters for learning of the convert model. The accuracy of the convert model showed RMSE values of 0.06g, 0.03mm, and 0.03mm in weight, height, and diameter, respectively. As the next step, additional randomly selected conditions were created and CAE analysis was performed. Then, the additional CAE analysis data were converted to similar experimental data through the conversion model. An artificial neural network model was constructed to predict the quality of injection molded product by using converted similar experimental data and injection molding experiment data. The injection molding conditions were used as input parameters for learning of the predicted model and weight, height, and diameter of the product were used as output parameters for learning. As a result of evaluating the performance of the prediction model, the predicted weight, height, and diameter showed RMSE values of 0.11g, 0.03mm, and 0.05mm and in terms of quality criteria of the target product, all of them showed accurate results satisfying the criteria range.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.352-362
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• 2017

This paper proposes an algorithm for automatically converting and displaying rainfall radar data on a 3D GIS platform. The weather information displayed like rainfall radar data is updated frequently and large-scale. Thus, in order to efficiently display the data, an algorithm to convert and output the data automatically, rather than manually, is required. In addition, since rainfall data is extracted from the space, the use of the display image fused with the 3D GIS data representing the space enhances the visibility of the user. To meet these requirements, this study developed the Auto Data Converter application that analyzes the raw data of the rainfall radar and convert them into a universal format. In addition, Unity 3D, which has good development accessibility, was used for dynamic 3D implementation of the converted rainfall radar data. The software applications developed in this study could automatically convert a large volume of rainfall data into a universal format in a short time and perform 3D modeling effectively according to the data conversion on the 3D platform. Furthermore, the rainfall radar data could be merged with other GIS data for effective visualization.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.207-212
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• 2021

Clustering Unlabeled Spatial-datasets to convert them to Labeled Spatial-datasets is a challenging task specially for geographical information systems. In this research study we investigated the NYC Taxi Limousine Commission dataset and discover that all of the spatial-temporal trajectory are unlabeled Spatial-datasets, which is in this case it is not suitable for any data mining tasks, such as classification and regression. Therefore, it is necessary to convert unlabeled Spatial-datasets into labeled Spatial-datasets. In this research study we are going to use the Clustering Technique to do this task for all the Trajectory datasets. A key difficulty for applying machine learning classification algorithms for many applications is that they require a lot of labeled datasets. Labeling a Big-data in many cases is a costly process. In this paper, we show the effectiveness of utilizing a Clustering Technique for labeling spatial data that leads to a high-accuracy classifier.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 D
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• pp.2140-2142
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• 2003

Recently, TCP/IP on Ethernet protocol is in use environment of LAN have developed a single chip by hardware. Therefore, the study about the single chip applies to the system control application like information electronic appliances, manufacturing automation machine has been made progress. This paper is the development of experimental Client node and Serve node that can transfer input-output data needed on Network Control System Client node is a sensor part of control system, that is, an analog signal is applicable to output data convert AD through LAN. Server node data sended in client convert DA, and then it is applicable to driver of Control System, so it achieves its part. In this study, is prove that using TCP/IP construct Network Control System.

• 정보처리학회논문지D
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• 제8D권4호
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• pp.421-426
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• 2001

정형적 개발 방법론은 소프트웨어를 정확하고 체계적으로 개발하기 위하여 사용되며 시스템을 정형 명세 언어를 사용하여 맹세하고 이를 구현할 때까지 점진적으로 시스템을 구체화하는 방법으로 개발한다. VDM은 정형 명세 언어의 하나로서 set, sequence, map의 수학적 추상적 자료구조를 사용하여 시스템을 명세하는데 대부분의 프로그래밍 언어는 이런 자료구조를 가지고 있지 않다. 그러므로 이들 자료구조들의 변환이 필요하며 VDM의 수학적 자료구조들은 프로그래밍 언어의 자료구조인 연결 리스트로 변환 할 수 있다. 본 논문에서는 VDM의 set, sequence, map의 자료구조를 프로그래밍 언어의 자료구조인 연결 리스트로 변환하는 방법과 그 변환의 타당성을 수학적으로 증명하였다.

• Genomics & Informatics
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• 제16권4호
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• pp.36.1-36.3
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• 2018

Next generation sequencing (NGS), a high-throughput DNA sequencing technology, is widely used for molecular biological studies. In NGS, RNA-sequencing (RNA-Seq), which is a short-read massively parallel sequencing, is a major quantitative transcriptome tool for different transcriptome studies. To utilize the RNA-Seq data, various quantification and analysis methods have been developed to solve specific research goals, including identification of differentially expressed genes and detection of novel transcripts. Because of the accumulation of RNA-Seq data in the public databases, there is a demand for integrative analysis. However, the available RNA-Seq data are stored in different formats such as read count, transcripts per million, and fragments per kilobase million. This hinders the integrative analysis of the RNA-Seq data. To solve this problem, we have developed a web-based application using Shiny, COEX-seq (Convert a Variety of Measurements of Gene Expression in RNA-Seq) that easily converts data in a variety of measurement formats of gene expression used in most bioinformatic tools for RNA-Seq. It provides a workflow that includes loading data set, selecting measurement formats of gene expression, and identifying gene names. COEX-seq is freely available for academic purposes and can be run on Windows, Mac OS, and Linux operating systems. Source code, sample data sets, and supplementary documentation are available as well.

• 한국공간정보시스템학회 논문지
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• 제2권2호
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• pp.99-115
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• 2000

지리 정보 시스템(GIS: Geographic Information System)은 일반적으로 각각의 독립적인 저장구조를 가지고 많은 양의 지리 정보 데이타를 다루고 있다. 이런 이유로 상호 호환적이지 못한 지리 데이터를 저장하고 있는 지리 정보 시스템들간의 지리 데이타 교환은 일반적으로 어려운 상황이다. 게다가, 지리 데이타를 저장하는 것은 많은 저장 공간을 필요로 하고, 그들을 입력하는데도 많은 비용이 필요하다. 본 논문에서는 현존하는 지리 정보 시스템인 GOTHIC을 위한 SDTS 데이타 변환 시스템을 설계하고 구현하였다. 데이타의 손실없는 변환을 위해서 먼저 SDTS 데이타와 GOTHIC 데이타간의 매핑을 설계하였다. 특히, SDTS 데이타가 ISO8211 형태이므로 엑세스를 위해 FIPS123 라이브러리를 이용하였고, 또한 GOTHIC의 내부적인 포맷은 공개되어 있지 않기 때문에 GOTHIC 데이타를 엑세스하기 위해 GOTHIC 라이브러리를 이용하였다. 본 논문에서 개발한 SDTS 데이타 변환 시스템은 효과적인 지리 정보 데이타의 변환을 위해 중간 화일을 이용하였고, 그래픽 사용자 인터페이스를 구현하기 위해 UIL을 이용하였다.

• 한국인터넷방송통신학회논문지
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• 제16권5호
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• pp.105-110
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• 2016

현재, 국내 CNC 산업분야는 제조업의 패러다임 변화에 따라 공작기계에 첨단 기술의 적용이 활발하게 추진되고 있다. 즉, 공작기계의 제어를 담당하는 CNC의 IT화는 가장 중요한 부분을 차지하고 있다. 하지만 공작기계 분야에 모션제어 전문기술 부족의 가장 큰 이유는 PC기반의 컨트롤러의 경우 비중을 많이 차지하는 윈도우즈 언어를 사용하기 보다는 G-Code를 직접 좌표에 맞춰 코딩하거나 값비싼 외산 S/W를 통해 변환 하는 경우가 대부분이기 때문이다. 본 논문에서는 다양한 형태의 CAD 데이터를 손쉽게 G-Code 데이터로 변환할 수 있는 G-Code 변환 프로그램 및 CAD&CAM과 응용 소프트웨어를 개발하고 이 변환된 데이터를 바로 로봇을 통해 원하는 동작을 시킬 수 있는 전용 모션 컨트롤러를 구현한다.

• Ocean Science Journal
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• 제41권2호
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• pp.97-104
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• 2006

A useful radiance-converting method was developed to convert the Landsat-7 ETM+thermal-infrared (TIR) band's radiance ($L_{{\lambda},L7/ETM+}$) to that of Landsat-5 TM TIR ($L_{{\lambda},L5/TM+})$ as: $L_{{\lambda},L5/TM}=0.9699{\times}L_{{\lambda},L7/ETM+}+0.1074\;(R^2=1)$. In addition, based on the radiance-converting equation and the linear relation between digital number (DN) and at-satellite radiance, a DN-converting equation can be established to convert DN value of the TIR band between Landsat-5 and Landsat-7. Via this method, it is easy to integrate Landsat-5 and Landsat-7 TIR data to retrieve the sea surface temperature (SST) in coastal waters on the basis of local empirical algorithms in which the radiance or DN of Lansat-5 and 7 TIR band is usually the only input independent variable. The method was employed in a local empirical algorithm in Daya Bay, China, to detect the thermal pollution of cooling water discharge from the Daya Bay nuclear power station (DNPS). This work demonstrates that radiance conversion is an effective approach to integration of Landsat-5 and Landsat-7 data in the process of a SST retrieval which is based on local empirical algorithms.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2004년도 가을 학술발표회 논문집
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• pp.126-132
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• 2004

The database design for the management of bridge measurement information is presented in this paper. To express the associated data generated during the whole process of ambient measurement efficiently, requirements analysis for database construction is performed. And to define objects and organize schema conceptual and logical design are performed, which convert data model into logical schema. Finally, physical design is performed using DDL(data defined language). This database is based on the object-relational data modeling approach that has rich expressive power and good reusability in comparison with the traditional entity-relational modeling.