• Title/Summary/Keyword: Data Processing Software

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Development of 3D Terrain Processing Platform Using Terrestrial Laser Scanning Data (지상레이저스캐닝 데이터를 활용한 3차원 지반지형 분석 플랫폼 개발)

  • Kim, Seok;Kim, Tae-Yeong
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.227-228
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    • 2016
  • Terrestrial laser scanning (TLS) technology is being applied to various fields such as the soil volume calculation and the displacement measurement of terrain, tunnels and dams. This study develops a 3D terrain processing platform for automated earth work using a terrestrial laser scanning data as the software prototype. The developed software provides cells with geo-technical information for planning work to an integrated system.

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A Study on Usage Frequency of Translated English Phrase Using Google Crawling

  • Kim, Kyuseok;Lee, Hyunno;Lim, Jisoo;Lee, Sungmin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.689-692
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    • 2020
  • People have studied English using online English dictionaries when they looked for the meaning of English words or the example sentences. These days, as the AI technologies such as machine learning have been developing, documents can be translated in real time with Kakao, Papago, Google translators and so on. But, there has still been some problems with the accuracy of translation. The AI secretaries can be used for real-time interpreting, so this kind of systems are being used to translate such the web pages, papers into Korean. In this paper, we researched on the usage frequency of the combined English phrases from dictionaries by analyzing the number of the searched results on Google. With the result of this paper, we expect to help the people to use more English fluently.

Accurate Pig Detection for Video Monitoring Environment (비디오 모니터링 환경에서 정확한 돼지 탐지)

  • Ahn, Hanse;Son, Seungwook;Yu, Seunghyun;Suh, Yooil;Son, Junhyung;Lee, Sejun;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.24 no.7
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    • pp.890-902
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    • 2021
  • Although the object detection accuracy with still images has been significantly improved with the advance of deep learning techniques, the object detection problem with video data remains as a challenging problem due to the real-time requirement and accuracy drop with occlusion. In this research, we propose a method in pig detection for video monitoring environment. First, we determine a motion, from a video data obtained from a tilted-down-view camera, based on the average size of each pig at each location with the training data, and extract key frames based on the motion information. For each key frame, we then apply YOLO, which is known to have a superior trade-off between accuracy and execution speed among many deep learning-based object detectors, in order to get pig's bounding boxes. Finally, we merge the bounding boxes between consecutive key frames in order to reduce false positive and negative cases. Based on the experiment results with a video data set obtained from a pig farm, we confirmed that the pigs could be detected with an accuracy of 97% at a processing speed of 37fps.

Accuracy Improvement of Pig Detection using Image Processing and Deep Learning Techniques on an Embedded Board (임베디드 보드에서 영상 처리 및 딥러닝 기법을 혼용한 돼지 탐지 정확도 개선)

  • Yu, Seunghyun;Son, Seungwook;Ahn, Hanse;Lee, Sejun;Baek, Hwapyeong;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.25 no.4
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    • pp.583-599
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    • 2022
  • Although the object detection accuracy with a single image has been significantly improved with the advance of deep learning techniques, the detection accuracy for pig monitoring is challenged by occlusion problems due to a complex structure of a pig room such as food facility. These detection difficulties with a single image can be mitigated by using a video data. In this research, we propose a method in pig detection for video monitoring environment with a static camera. That is, by using both image processing and deep learning techniques, we can recognize a complex structure of a pig room and this information of the pig room can be utilized for improving the detection accuracy of pigs in the monitored pig room. Furthermore, we reduce the execution time overhead by applying a pruning technique for real-time video monitoring on an embedded board. Based on the experiment results with a video data set obtained from a commercial pig farm, we confirmed that the pigs could be detected more accurately in real-time, even on an embedded board.

Spatial Clearinghouse Components for OpenGIS Data Providers

  • Oh, Byoung-Woo;Kim, Min-Soo;Lee, Jong-Hun
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.84-88
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    • 1999
  • Recently, the necessity of accessing spatial data from remote computer via network has been increased as distributed spatial data have been increased due to their size and cost. Many methods have been used in recent years for transferring spatial data, such as socket, CORBA, HTTP, RPC, FTP, etc. In this paper, we propose spatial clearinghouse components to access distributed spatial data sources via CORBA and Internet. The spatial clearinghouse components are defined as OLE/COM components that enable users to access spatial data that meet their requests from remote computer. For reusability, we design the spatial clearinghouse with UML and implement it as a set of components. In order to enhance interoperability among different platforms in distributed computing environment, we adopt international standards and open architecture such as CORBA, HTTB, and OpenGIS Simple Features Specifications. There are two kinds of spatial clearinghouse: CORBA-based spatial clearinghouse and Internet-based spatial clearinghouse. The CORBA-based spatial clearinghouse supports COM-CORBA bridge to access spatial data from remote data providers that satisfy the OpenGIS Simple Features Specification for OLE/COM using COM and CORBA interfaces. The Internet-based spatial clearinghouse provides Web-service components to access spatial data from remote data providers using Web-browser.

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The GNSS Accuracy Analysis according to Data Processing S/W (GNSS 자료처리 S/W에 따른 정확도 분석)

  • Lee, Yong-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.6
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    • pp.628-633
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    • 2018
  • The accuracy of GNSS depends on several factors from the equipment used in data processing because GNSS positioning can be used differently depending on the accuracy required. In the case of the control point surveying requiring high accuracy, GNSS surveying is performed using the relative positioning method, and the observation time and data processing s/w are used differently depending on the class of the control points. On the other hand, the accuracy of academic software depends on the skill of the user, so it may be better to use commercial software in the case of a short baseline. In this study, the results of GNSS survey data were compared using scientific software and commercial software. The results showed that the horizontal position showed a difference of less than 2 cm and the height showed a difference of less than 5 cm. These differences were found to be in the error ranges specified in the unified control point survey regulations. Based on the above results, the commercial s/w can be used for GNSS data processing at the midterm baseline rather than the long baseline.

HIGH-SPEED SOFTWARE FRAME SYNCHRONIZER USING CIRCULAR BUFFER

  • Koo, In-Hoi;Ahn, Sang-II;Kim, Tae-Hoon;SaKong, Young-Bo
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.228-231
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    • 2008
  • For a satellite data communication, the technology of frame synchronization is widely used between a sender and a receiver. Last year, we suggested zero-loss frame synchronization [1] using pattern search and using bits threshold search algorithm that is based on SIMD technology [2,3]. This algorithm could solve both of hardware and software drawbacks, which are frame loss and low processing performance. However, this algorithm didn't optimize the processing of output data, synchronized data, which caused overhead to the memory allocation and the memory copy. Consequently, the performance of the frame synchronizer application was degraded. In this paper, we enhance previous work using a circular buffer in order to optimize the output data processing. The performance comparison with the previous algorithm shows that the enhanced proposed approach dramatically outperforms in the output data processing speed.

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Implementation of Web Service for the E_Commerce Database Processing (전자상거래의 DB처리를 위한 웹 서비스 구현)

  • 황하응;김정홍;이상조
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.4
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    • pp.168-173
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    • 2002
  • According to the rapid growth of Internet service, electronic commerce usage scale is growing every year. It requires the method of vitalizations of electronic commerce through reducing the software development cost and making easy of data construction. Web service, which is adapting distributed technology based on internet supports the infrastructure of reducing the software development cost through software sharing. As the shared software modules access the same data, they can reference the same data on the other site. In this paper, we designed and implemented database Processing module of the electronic commerce program using web service technology, which can make easy of site construction and sharing database. Implemented database processing module supports data selection modification insertion deletion and searching. Using this functions we showed product item information could be shared among the other electronic commerce sit.

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A Big-Data Trajectory Combination Method for Navigations using Collected Trajectory Data (수집된 경로데이터를 사용하는 내비게이션을 위한 대용량 경로조합 방법)

  • Koo, Kwang Min;Lee, Taeho;Park, Heemin
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.386-395
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    • 2016
  • In trajectory-based navigation systems, a huge amount of trajectory data is needed for efficient route explorations. However, it would be very hard to collect trajectories from all the possible start and destination combinations. To provide a practical solution to this problem, we suggest a method combining collected GPS trajectories data into additional generated trajectories with new start and destination combinations without road information. We present a trajectory combination algorithm and its implementation with Scala programming language on Spark platform for big data processing. The experimental results proved that the proposed method can effectively populate the collected trajectories into valid trajectory paths more than three hundred times.

AP-SDN: Action Program enabled Software-Defined Networking Architecture

  • Zheng Zhao;Xiaoya Fan;Xin Xie;Qian Mao;Qi Zhao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.7
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    • pp.1894-1915
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    • 2023
  • Software-Defined Networking (SDN) offers several advantages in dynamic routing, flexible programmable control and custom application-driven network management. However, the programmability of the data plane in traditional SDN is limited. A network operator cannot change the ability of the data plane and perform complex packet processing on the data plane, which limits the flexibility and extendibility of SDN. In the paper, AP-SDN (Action Program enabled Software-Defined Networking) architecture is proposed, which extends the action set of SDN data plane. In the proposed architecture, a modified Open vSwitch is utilized in the data plane allowing the execution of action programs at runtime, thus enabling complex packet processing. An example action program is also implemented which transparently encrypts traffic for terminals. At last, a prototype system of AP-SDN is developed and experiments show its effectiveness and performance.