• 제목/요약/키워드: Preprocessing Process

검색결과 422건 처리시간 0.024초

내부점 방법을 위한 사전처리의 구현 (An Implementation of Preprocessing for Interior Point Methods for Linear Programming)

  • 성명기;임성묵;박순달
    • 한국경영과학회지
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    • 제24권1호
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    • pp.1-11
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    • 1999
  • We classified preprocessing methods into (1) analytic methods, (2) methods for removing implied free variables, (3) methods using pivot or elementary row operations, (4) methods for removing linearly dependent rows and columns and (5) methods for dense columns. We noted some considerations to which should be paid attention when preprocessing methods are applied to interior point methods for linear programming. We proposed an efficient order of preprocessing methods and data structures. We also noted the recovery process for dual solutions. We implemented the proposed preprocessing methods. and tested it with 28 large scale problems of NETLIB. We compared the results of it with those of preprocessing routines of HOPDM, BPDPM and CPLEX.

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문자영상의 중심화소 추적 알고리즘 및 신경칩 설계 (The Tracing Algorithm for Center Pixel of Character Image and the Design of Neural Chip)

  • 고휘진;여진경;정호선
    • 전자공학회논문지B
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    • 제29B권8호
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    • pp.35-43
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    • 1992
  • We have presented the tracing algorithm for center pixel of character image. Character image was read by scanner device. Performing the tracing process, it can be possible to detect feature points, such as branch point, stroke of 4 directions. So, the tracing process covers the thinning and feature point detection process for improving the processing time. Usage of suggested tracing algorithm instead of thinning that is the preprocessing of character recognition increases speed up to 5 times. The preprocessing chip has been designed by using single layer perceptron algorithm.

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주조공정 데이터 처리 및 분석 (1) (Data Management and Analysis in Foundry Industry (1))

  • 조인성
    • 한국주조공학회지
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    • 제42권1호
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    • pp.35-41
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    • 2022
  • In the present paper, the data management of casting processes has been discussed. In order to construct a smart factory in the foundry industry, understanding of the whole casting processes has to be in the first place. Casting process data can be obtained at the kiosk operated by casting engineers and data acquired by sensors in the foundry facility. However, preprocessing of the casting process data must be carried out in order to analyze the casting process by the data. Techniques and some examples for data preprocessing in the foundry was introduced.

초분광영상의 조명효과 보정 전처리기법 분석 (Analyzing Preprocessing for Correcting Lighting Effects in Hyperspectral Images)

  • 송영선
    • 한국산업융합학회 논문집
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    • 제26권5호
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    • pp.785-792
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    • 2023
  • Because hyperspectral imaging provides detailed spectral information across a broad range of wavelengths, it can be utilized in numerous applications, including environmental monitoring, food quality inspection, medical diagnosis, material identification, art authentication, and crime scene analysis. However, hyperspectral images often contain various types of distortions due to the environmental conditions during image acquisition, which necessitates the proper removal of these distortions through a data preprocessing process. In this study, a preprocessing method was investigated to effectively correct the distortion caused by artificial light sources used in indoor hyperspectral imaging. For this purpose, a halogen-tungsten artificial light source was installed indoors, and hyperspectral images were acquired. The acquired images were then corrected for distortion using a preprocessing that does not require complex auxiliary equipment. After the corrections were made, the results were analyzed. According to the analysis, a statistical transformation technique using mean and standard deviation with reference to a reference signal was found to be the most effective in correcting distortions caused by artificial light sources.

Effects of Preprocessing on Text Classification in Balanced and Imbalanced Datasets

  • Mehmet F. Karaca
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권3호
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    • pp.591-609
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    • 2024
  • In this study, preprocessings with all combinations were examined in terms of the effects on decreasing word number, shortening the duration of the process and the classification success in balanced and imbalanced datasets which were unbalanced in different ratios. The decreases in the word number and the processing time provided by preprocessings were interrelated. It was seen that more successful classifications were made with Turkish datasets and English datasets were affected more from the situation of whether the dataset is balanced or not. It was found out that the incorrect classifications, which are in the classes having few documents in highly imbalanced datasets, were made by assigning to the class close to the related class in terms of topic in Turkish datasets and to the class which have many documents in English datasets. In terms of average scores, the highest classification was obtained in Turkish datasets as follows: with not applying lowercase, applying stemming and removing stop words, and in English datasets as follows: with applying lowercase and stemming, removing stop words. Applying stemming was the most important preprocessing method which increases the success in Turkish datasets, whereas removing stop words in English datasets. The maximum scores revealed that feature selection, feature size and classifier are more effective than preprocessing in classification success. It was concluded that preprocessing is necessary for text classification because it shortens the processing time and can achieve high classification success, a preprocessing method does not have the same effect in all languages, and different preprocessing methods are more successful for different languages.

실시간 처리를 위한 2차 화상의 잡음 제거 전용 하드웨어 구성 (Dedicated hardware implementation for real time noise elimination of 2-valued image)

  • 박인정;이동찬
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.243-246
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    • 1988
  • A lot of time is required in order to the process of loop repeating the preprocessing operated in the software. Specially in the preprocessing, most of the time is used for the noise elimination such a software algorithm component of a noise elimination hardware, this can operate quickly the process.

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Real-Time Generation of City Map for Games in Unity with View-dependent Refinement and Pattern Synthesis Algorithm

  • Kim, Jong-Hyun
    • 한국컴퓨터정보학회논문지
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    • 제24권4호
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    • pp.51-56
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    • 2019
  • In this paper, we propose an algorithm that can quickly generate and synthesize city maps in racing games. Racing games are characterized by moving a wide map rather than a fixed map, but designing and developing a wide map requires a lot of production time. This problem can be mitigated by creating a large map in the preprocessing step, but a fixed map makes the game tedious. It is also inefficient to process all the various maps in the preprocessing step. In order to solve this problem, we propose a technique to create a terrain pattern in the preprocessing process, to generate a map in real time, and to synthesize various maps randomly. In addition, we reduced unnecessary rendering computations by integrating view-dependent techniques into the proposed framework. This study was developed in Unity3D and can be used for various contents as well as racing game.

머신러닝 자동화를 위한 개발 환경에 관한 연구 (A Study on Development Environments for Machine Learning)

  • 김동길;박용순;박래정;정태윤
    • 대한임베디드공학회논문지
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    • 제15권6호
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    • pp.307-316
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    • 2020
  • Machine learning model data is highly affected by performance. preprocessing is needed to enable analysis of various types of data, such as letters, numbers, and special characters. This paper proposes a development environment that aims to process categorical and continuous data according to the type of missing values in stage 1, implementing the function of selecting the best performing algorithm in stage 2 and automating the process of checking model performance in stage 3. Using this model, machine learning models can be created without prior knowledge of data preprocessing.

소형 밀리미터파 레이더를 위한 실시간 데이터 전처리 방법 연구 (A Study on Real-time Data Preprocessing Technique for Small Millimeter Wave Radar)

  • 최진규;신영철;홍순일;박창현;김윤진;김홍락;권준범
    • 한국인터넷방송통신학회논문지
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    • 제19권6호
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    • pp.79-85
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    • 2019
  • 최근 소형 레이더는 한번의 타격으로 표적의 시스템을 무능화시키기 위해 높은 거리해상도를 갖는 소형 밀리미터파 레이더 개발을 요구한다. 높은 거리해상도를 갖는 소형 밀리미터파 레이더가 표적을 획득하고, 추적하기 위해서는 대용량의 데이터를 실시간으로 처리해야한다. 본 논문에서는 소형 밀리미터파 레이더에서 요구하는 대용량의 데이터를 실시간으로 처리하기 위한 실시간 데이터 전처리 방법을 정리하였다. 또한 실시간 데이터 전처리 방법으로 제시한 디지털 IF(Intermediate Frequency) 수신기, Window처리, DFT(Discrete Fourier Transform)를 FPGA (Field Programmable Gate Array)를 활용하여 구현하였다. 마지막으로 구현한 실시간 데이터 전처리 모듈은 소형 밀리미터파 레이더를 위한 신호처리기에 적용하여 실시간 데이터 전처리 기능과 관련된 성능시험으로 검증하였다.

폴리이미드와 Cu/Ni층과의 계면결합력에 미치는 플라즈마 처리 시간 효과 (Effect of Plasma Treatment Times on the Adhesion of Cu/Ni Thin Film to Polyimide)

  • 우태규;박일송;정광희;전우용;설경원
    • 대한금속재료학회지
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    • 제49권8호
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    • pp.657-663
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    • 2011
  • This study represents the results of the peel strength and surface morphology according to the preprocessing times of polyimide (PI) in a Cu/Ni/PI structure flexible copper clad laminate production process based on the polyimide. Field emission scanning electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy were used to analyze the surface morphology, crystal structure, and interface binding structure of sputtered Ni, Cu, and electrodeposited copper foil layers. The surface roughness of Ni, Cu deposition layers and the crystal structure of electrodeposited Cu layers were varied according to the preprocessing times. In the RF plasma times that were varied by 100-600 seconds in a preprocessing process, the preprocessing applied by about 300-400 seconds showed a homogeneous surface morphology in the metal layers and that also represented high peel strength for the polyimide. Considering the effect of peel strength on plastic deformation, preprocessing times can reasonably be at about 400 seconds.