• Title/Summary/Keyword: Department of processing

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ANALYSIS ON PROCESSING PERFORMANCE OF COMS LHGS

  • Bae, Hee-Jin;Ahn, Sang-Il
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.105-108
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    • 2007
  • The COMS LRIT/HRIT broadcast service should satisfy the 15 minutes timeliness requirement. The timeliness requirement is an important enough to impact on the overall performance of LHGS. Therefore, the simulation for the LHGS processing was performed with the LHGS prototype in this paper. First, processing time is measured for each process (per modules) of the LHGS without I/O time. Then, the LHGS processing is performed with worst scenario and the processing time is measured. Finally, analyses for processing time and time constraint are performed.

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Contamination patterns of Listeria spp. in pork processing plants using random amplified polymorphic DNA (RAPD를 이용한 돈육 가공장의 Listeria 오염양상 분석)

  • Ha, Sung-Yeol;Choi, Weon-Sang;Bahk, Gyung-Jin;Hong, Chong-Hae
    • Korean Journal of Veterinary Research
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    • v.45 no.3
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    • pp.359-367
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    • 2005
  • This study was carried out to understand the contamination patterns of Listeria in pork processing plants. A total of 402 samples were collected from carcass, pork during processing, surfaces of equipment and environment, and 238 isolates of Listeria species were identified. L. innocua was found in 64.7% of the isolates, L. monocytogenes in 33.2%, and L. welshimeri in 2.1%. Random amplified polymorphic DNA (RAPD) analysis performed to investigate the origin and routes of Listeria contamination, showed 21 composite types of L. monocytogenes and 26 composite types of L. innocua. It was confirmed that Listeria contamination begins with contaminated incoming carcass and ever-present contaminants in the processing environments. The persistence and dissemination of the same strain of L. monocytogenes and L. innocua throughout the processing line revealed that the sanitation standard operating procedure should be implemented to minimize the risk of colonization in the workplace. Molecular subtyping of L. innocua allowed us to tracing the possibility of cross-contamination during processing.

A Study on Distributed System Construction and Numerical Calculation Using Raspberry Pi

  • Ko, Young-ho;Heo, Gyu-Seong;Lee, Sang-Hyun
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.194-199
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    • 2019
  • As the performance of the system increases, more parallelized data is being processed than single processing of data. Today's cpu structure has been developed to leverage multicore, and hence data processing methods are being developed to enable parallel processing. In recent years desktop cpu has increased multicore, data is growing exponentially, and there is also a growing need for data processing as artificial intelligence develops. This neural network of artificial intelligence consists of a matrix, making it advantageous for parallel processing. This paper aims to speed up the processing of the system by using raspberrypi to implement the cluster building and parallel processing system against the backdrop of the foregoing discussion. Raspberrypi is a credit card-sized single computer made by the raspberrypi Foundation in England, developed for education in schools and developing countries. It is cheap and easy to get the information you need because many people use it. Distributed processing systems should be supported by programs that connected multiple computers in parallel and operate on a built-in system. RaspberryPi is connected to switchhub, each connected raspberrypi communicates using the internal network, and internally implements parallel processing using the Message Passing Interface (MPI). Parallel processing programs can be programmed in python and can also use C or Fortran. The system was tested for parallel processing as a result of multiplying the two-dimensional arrangement of 10000 size by 0.1. Tests have shown a reduction in computational time and that parallelism can be reduced to the maximum number of cores in the system. The systems in this paper are manufactured on a Linux-based single computer and are thought to require testing on systems in different environments.

Pre-cooking and liquid smoke affect the physicochemical and microbiological quality and polyhydroxy aromatic hydrocarbon (PAH) content in smoked skipjack tuna (Katsuwonus pelamis L.)

  • Silvana Dinaintang Harikedua;Ella Dertina Saragih;Eunike Louisje Mongi;Lena Jeane Damongilala;Netty Salindeho;Henny Adeleida Dien;Nurmeilita Taher;Helen Jenny Lohoo;Mayse Sofien Siby
    • Food Science and Preservation
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    • v.31 no.2
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    • pp.210-217
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    • 2024
  • This study aimed to compare the quality of smoked fish products processed with liquid smoke with and without pre-cooking when stored at room temperature (25℃) for 0, 2, 4, and 6 days. The observations included moisture content, water holding capacity, color, and total plate and mold counts. The treated samples were also analyzed for polyhydroxyaromatic hydrocarbons (PAHs) at day 0. The study found that the pre-cooked products had a lower moisture content (55.1%) than the control (59.9%) during storage. Additionally, the pre-cooked product had a higher water holding capacity than the control. The TPC value indicates that the pre-cooked product meets the Indonesian standard for smoked fish up to the 2nd day of storage, whereas the control product only meets the standard on day 0. However, the total mold of the control products meets the Indonesian standard until the 2nd day of storage, while the pre-cooked products only meet the standard on day 0. The pre-cooked product had a higher lightness value (L*) than the control. The analysis of polyhydroxy aromatic hydrocarbon (PAH) showed that the pre-cooking process did not affect the concentration of PAH.

Convolutional Neural Network Based Image Processing System

  • Kim, Hankil;Kim, Jinyoung;Jung, Hoekyung
    • Journal of information and communication convergence engineering
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    • v.16 no.3
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    • pp.160-165
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    • 2018
  • This paper designed and developed the image processing system of integrating feature extraction and matching by using convolutional neural network (CNN), rather than relying on the simple method of processing feature extraction and matching separately in the image processing of conventional image recognition system. To implement it, the proposed system enables CNN to operate and analyze the performance of conventional image processing system. This system extracts the features of an image using CNN and then learns them by the neural network. The proposed system showed 84% accuracy of recognition. The proposed system is a model of recognizing learned images by deep learning. Therefore, it can run in batch and work easily under any platform (including embedded platform) that can read all kinds of files anytime. Also, it does not require the implementing of feature extraction algorithm and matching algorithm therefore it can save time and it is efficient. As a result, it can be widely used as an image recognition program.

SYNTHESIS OF CARBON NITRIDE THIN FILMS BY PLASMA PROCESSING

  • Takai, Osamu;Taki, Yusuke;Kitagawa, Toshihisa
    • Journal of the Korean institute of surface engineering
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    • v.29 no.5
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    • pp.363-370
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    • 1996
  • Carbon nitride is one of the new carbon materials which show interesting properties. After the theoretical calculation by LIu and Cohen, many researchers are trying to prepare $\beta$-$C_3N_4$ which may be harder than diamond. Many carbon nitride films synthesized till now by various methods are amorphous and the N/C ratios in the films are usually below 0.5. First we review shortly the synthesis of carbon nitride thin films by plasma, ion and laser processing. Second we report on the preparation of amorphous carbon nitride thin films by shielded arc ion plating and the structural and mechanical properties of the films.

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Study on The Drug Processing of of the Roots of Aconitum carmichaeli (바꽃(烏頭)의 포제(抱製)에 관한 연구)

  • Seong, Man-Jun;Lee, Kye-Suk;Cho, Sun-Hee;Lee, Go-Hoon;Kang, OK-Hwa;Kwon, Dong-Yeul
    • Herbal Formula Science
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    • v.13 no.2
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    • pp.141-151
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    • 2005
  • From the tuberous root of Aconitum carmichaeli Debx.(Ranunculaceae), the main root is called as common monkhood mother root and the later root is called as the prepared aconite root. From the prepared aconite root. Looking at the processing method of the prepared aconite root, it is divided into Yeombuja (prepared aconite root processed in salt) and heuksoonpyeon (baekbupyeon) following the processing method after removing the soil and this is a way of processing the prepared aconite root without damage it. The recently produced raw prepared aconite root is easily damaged, thus it shall be preserved in salt to have the crystal shape on the surface of the prepared aconite root and store and transport in firmly solidified yeombuja condition. Therefore, yeombuja shall remove the salt before use and requires processing for use but heuksoonpyeon or baekbupyeon may use immediately. For the succession of the unique processing techniques of our ancestors, there has to be studies on the techniques. Prepared aconite root is generally used as holy medicines to cure the yang depletion syndrome, kidney-yang deficiency syndrome, and obstruction of qi in the chest syndrome. However, they are the substances with toxicity. It is contemplated that the contents of processing are broadly understood through the document on the processing method, and based on such foundation, the systematic set and proof on the documents are made along with the addition of the contemporary scientific theory and technology to develop the traditional processing technology to maximize the treatment effect and safety of prepared aconite root. In this study, the historic data and records on the processing method of latteral root of aconitum carmichaeli Debx will be rearranged to contribute to the standardization of medicinal herbs, maximization of efficacy and minimization of the side effects.

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Displacement Measurement of Pylon using Image Processing Technique (영상처리 기법을 이용한 주탑의 변위 측정)

  • Son, Byung Jik;Jeon, Seung Gon;Heo, Gwang Hee
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.6 no.3
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    • pp.20-25
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    • 2015
  • This paper introduces a digital image processing(DIP) method as a method for measuring the displacement of pylon. The comparison of DIP results and ANSYS analysis results verified the validity of the image processing technique. Normalized cross-correlation(NCC) coefficient was used and experiments were performed three times. It shows that the displacement difference was 22% and 5% compared to ANSYS results. Therefore, the image processing method is expected to be able to measure the displacement of pylon sufficiently.

High Temperature Deformation Behavior of Al-Zn-Mg-Based New Alloy Using a Dynamic Material Model

  • Jang, Bong Jung;Park, Hyun Soon;Kim, Mok-Soon
    • Metals and materials international
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    • v.24 no.6
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    • pp.1249-1255
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    • 2018
  • High temperature compression tests for newly developed Al-Zn-Mg alloy were carried out to investigate its hot deformation behavior and obtain deformation processing maps. In the compression tests, cylindrical specimens were deformed at high temperatures ($300-500^{\circ}C$) and strain rates of 0.001-1/s. Using the true stress-true strain curves obtained from the compression tests, processing maps were constructed by evaluating the power dissipation efficiency map and flow instability map. The processing map can be divided into three areas according to the microstructures of the deformed specimens: instability area with flow localization, instability area with mixed grains, and stable area with homogeneous grains resulting from continuous dynamic recrystallization (CDRX). The results suggest that the optimal processing conditions for the Al-Zn-Mg alloy are $450^{\circ}C$ and a strain rate of 0.001/s, having a stable area with homogeneous grains resulting from CDRX.

Cloud-based Satellite Image Processing Service by Open Source Stack: A KARI Case

  • Lee, Kiwon;Kang, Sanggoo;Kim, Kwangseob;Chae, Tae-Byeong
    • Korean Journal of Remote Sensing
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    • v.33 no.4
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    • pp.339-350
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    • 2017
  • In recent, cloud computing paradigm and open source as a huge trend in the Information Communication Technology (ICT) are widely applied, being closely interrelated to each other in the various applications. The integrated services by both technologies is generally regarded as one of a prospective web-based business models impacting the concerned industries. In spite of progressing those technologies, there are a few application cases in the geo-based application domains. The purpose of this study is to develop a cloud-based service system for satellite image processing based on the pure and full open source. On the OpenStack, cloud computing open source, virtual servers for system management by open source stack and image processing functionalities provided by OTB have been built or constructed. In this stage, practical image processing functions for KOMPSAT within this service system are thresholding segmentation, pan-sharpening with multi-resolution image sets, change detection with paired image sets. This is the first case in which a government-supporting space science institution provides cloud-based services for satellite image processing functionalities based on pure open source stack. It is expected that this implemented system can expand with further image processing algorithms using public and open data sets.