• Title/Summary/Keyword: location info

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Management Of Road Ledger Using Facility Database (시설물 데이타베이스에 의한 도로대장관리)

  • 강인준;박기태;정재형
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.11 no.2
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    • pp.101-106
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    • 1993
  • This study is a efficient management techniques of road by facility database. The purpose of road ledger investigate the property of road facility, the present condition of the location, the quality of the material of the ground and underground facility. Also, this is used to make plan for construction, and investment program of the road. To build road database, photogrammetry, ground control surveying and aerial photogrammetry must be performed. After the research of the road facility, a underground facility map and the road drawings are to be made. In this study, model area is the KUMJUNG-KU in Pusan where an industrial road is located on. There are about 7,000 signal lampes and traffic safety boards. It is possible to manage scientifical and efficient road ledger though statistical handling using facility database. In this paper, authors found the database of road facility through basic circumstances in the use of SML of ARC/INFO.

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A Study of Land Suitability Analysis by Integrating GSIS with Artificial Neural Networks (GSIS와 인공신경망의 결합에 의한 토지적합성분석에 관한 연구)

  • 양옥진;정영동
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.18 no.2
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    • pp.179-189
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    • 2000
  • This study is tried to organic combination in implementing the suitability analysis of urban landuse between GSIS and ANN(Artificial Neural Network). ANN has merit that can decide rationally connectivity weights among neural network nodes through procedure of learning. It is estimated to be possible that replacing the weight among factors needed in spatial analysis of the connectivity weight on neural network. This study is composed of two kinds of neural networks to be executed. First neural network was used in the suitability analysis of landuse and second one was oriented to analyze of optimum landuse pattern. These neural networks were learned with back-propagation algorithm using the steepest gradient which is embodied by C++ program and used sigmoid function as a active function. Analysis results show landuse suitability map and optimum landuse pattern of study area consisted of residental, commercial. industrial and green zone in present zoning system. Each result map was written by the Grid format of Arc/Info. Also, suitability area presented in the suitability map and optimum landuse pattern show distribution pattern consistent with theroretical concept or urban landuse plan in aspect of location and space structure.

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Extraction of Optimal Moving Patterns of Edge Devices Using Frequencies and Weights (빈발도와 가중치를 적용한 엣지 디바이스의 최적 이동패턴 추출)

  • Lee, YonSik;Jang, MinSeok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.786-792
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    • 2022
  • In the cloud computing environment, there has been a lot of research into the Fog/Edge Computing (FEC) paradigm for securing user proximity of application services and computation offloading to alleviate service delay difficulties. The method of predicting dynamic location change patterns of edge devices (moving objects) requesting application services is critical in this FEC environment for efficient computing resource distribution and deployment. This paper proposes an optimal moving pattern extraction algorithm in which variable weights (distance, time, congestion) are applied to selected paths in addition to a support factor threshold for frequency patterns (moving objects) of edge devices. The proposed algorithm is compared to the OPE_freq [8] algorithm, which just applies frequency, as well as the A* and Dijkstra algorithms, and it can be shown that the execution time and number of nodes accessed are reduced, and a more accurate path is extracted through experiments.

A Study on 3D RTLS at Port Container Yards Using the Extended Kalman Filter

  • Kim, Joeng-Hoon;Lee, Hyun-Woo;Kwon, Soon-Ryang
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.4
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    • pp.228-235
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    • 2007
  • The main purpose of this paper is to manage the container property effectively at the container yard by applying the RTLS technology to the field of port logistics. Yet, many kinds of noises happen to be inputted with the distance value(between the reader and the tag) which is to be inputted into the location identification algorithm, which makes the distance value jumped due to the system noise of the ultrasonic sensor module and the measurement noise. The Kalman Filter is widely used to prevent this jump occurrence; the noises are eliminated by using the EKF(Extended Kalman Filter) while considering that the distance information of the ultrasonic sensor is non-linear. Also, the 3D RTLS system at the port container yard suggested in this research is designed not to be interrupted for its ultrasonic transmission by positioning the antenna at the front of each sector of the container where the active tags are installed. We positioned the readers, which function as antennas for location identification, to four places randomly in the absolute coordinate and let the positions of the active tags identified by using the distance data delivered from the active tags. For the location identification algorithm used in this paper, the triangulation measurement that is most used in general is applied and newly reorganized to calculate the position of the container. In the first experiment, we dealt with the error resulting in the angle and the distance of the ultrasonic sensor module, which is the most important in the hardware performance; in the second, we evaluated the performance of the location identification algorithm, which is the most important in the software performance, and tested the noise cancellation effects for the EKF. According to the experiment result, the ultrasonic sensor showed an average of 3 to 5cm error up to $45^{\circ}$ in case of $60^{\circ}$ or more, non-reliable linear distances were obtained. In addition, the evaluation of the algorithm performance showed an average of $4^{\circ}{\sim}5^{\circ}$ error due to the error of the linear distance-this error is negligible for most container location identifications. Lastly, the experiment results of noise cancellation and jump preservation by using the EKF showed that noises were removed in the distance information which was entered from the input of the ultrasonic sensor and as a result, only signal was extracted; thus, jumps were able to be removed and the exact distance information between the ultrasonic sensors could be obtained.

IPv6 Networking with Subnet ID Deprecated

  • Kim, Young Hee;Kim, Dae Young;Park, Jong Won
    • Journal of Computing Science and Engineering
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    • v.11 no.2
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    • pp.49-57
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    • 2017
  • This paper proposes a new IPv6 networking paradigm as a counter answer to the rationale for locator/identifier separation. Instead of involving separate number spaces each for node identifiers and locators, the context of the IP address as a node identifier alone is utilized and no additional locators are incorporated. That is, there are only node addresses and no locators, and location information is indirectly derived from neighbor relations between nodes. In order to accomplish this, no subnet IDs are utilized; the ID value is set to zero for all subnets. The paper details how to construct this paradigm through novel choice of operational policies in various IPv6 protocols and some trivial modifications. Especially, inherent provision of intra-domain node- as well as subnet-mobility by use of standard link-state intra-domain routing protocols is discussed. A number of important advantages of this paradigm over the canonical IPv6 networking and various known solutions of locator/identifier separation are discussed. Tailoring for multi-area domains and IPv4 is left for further study.

Description-Based Multimedia Clipart Retrieval in WWW

  • Kim, Hion-Gun;Sin, Bong-Kee;Song, Ju-Won
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1998.06b
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    • pp.111-115
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    • 1998
  • The Internet today is teemed with not only text data but also other media such as sound, still and moving images in a variety of formats. Unlike text, however, that can be retrieved easily with the help of numerous search engines, there has been few way to access data of other media unless the exact location or the URL is known. Multimedia data in the WWW are contained in or linked via anchors in the hyper-documents. They can most reliably be retrieved by analyzing the binary data content, which is far from being practical yet by the current state of the art. Instead we present another technique of searching based on textual descriptions which are found at or around the multimedia objects. The textual description used in this research includes file name (URL), anchor text and its context, alternative descriptions found in ALT HTML tage. These are actually the clues assumedly relevant to the contents. Although not without a possibility of missing or misinterpreting images and sounds, the description-based search is highly practical in terms of computation. The prototype search engine will soon be deployed to the public service through the prestige search engine, InfoDetective, in Korea.

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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.

Location Analysis of A Collective Consumption Facility with GIS: The Location of Gu-Office and Its Administrative District in Ulsan, South Korea (GIS기법을 이용한 도시공공서비스 시설의 입지분석 -울산시 구 관할구역과 구청입지를 중심으로-)

  • Cho, Sung-Ho;Park, Soon-Ho
    • Journal of the Korean association of regional geographers
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    • v.2 no.1
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    • pp.69-85
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    • 1996
  • This research adoptes a spatial analysis function of the Geographic Information System[GIS] to analyze the location and the service district of a collective consumption facility, to discover the optimal location, and to redefine the service district. The location and spatial district of a collective consumption facility strongly influences the quality of life of residents. This research studies administrative offices and districts, especially Gu-offices in Ulsan. Ulsan would be raised to the status of Kwangyokshi in 1997; so that, the status of four Gus would be changed from a general administration into a self-governing administration. The summary of this research focuses on five significant points. First, the districts of four Gus were strongly required to be redefined to obtain the maximization of the degree of potential development as well as of the efficiency and equity of administring services. The spatial range of residents in a Gu was not in accord with its administrative district. The administrative districts of four Gus in Ulsan were not balanced in terms of area and population, and the high degree of disparity among Gus existed the efficiency and equality of a collective consumption service. Second, the current gu-offices were located based on security of land and accessibility of a main route; so, there was difficult to find the creteria and the principles of selections of the location of Gu offices. The social disparity of an administrative service existed in the accessibility into Gu-offices. Third, the administrative districts of Gus were redefined with spatial analysis tool of ARC/INFO. It was recommended that Ulsan maintain four Gus under the condition of five Kwangyokshi in South Korea. The redefined districts of administration reduced the disparity among four Gus in terms of area and population. improved the degree of harmony between the spatial range of residents of Gus and the administrative district of Gus, and increased the efficiency and equity of administrative service. Fourth, within the redefined adminis trative district of a Gu, the centroid reduced the maximum distance and mean distance; so, the efficiency and equity of public service provided by the Gu-office were improved. Last, the spatial analysis function of GIS helped to select the optimal location and to delineate the district of public service with more speedly and objectively. The function of spatial analysis of GIS was very useful to minimize the conflict in the determination of the location of a collective consumption facility and of the service district. To improve location analysis with GIS. non-spatial data base such as budget, thought of residents, and development policy and program, should be constructed.

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Developing a Hybrid Web-based GIS for Improving Access to Distributed Spatial Data and Spatial Modeling Tools (분산형 공간모델링을 구현하기 위한 하이브리드형 웹기반 GIS의 개발)

  • Jun, Byong-Woon;Park, Chan-Suk;Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.2
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    • pp.61-72
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    • 2000
  • The maturation of the Web technology has reshaped the ways in which data are accessed, disseminated, and shared. Thanks to its popularity along with the advance of spatial information technology, four major changes have been further made in traditional geographic information systems (GIS) in relation to access to data, distribution of data, access to GIS functionality, and visualization of multimedia data. Although access to and dissemination of spatial data over the Web has in recent years been addressed in the literature, little research effort has addressed the issue of access to and processing of GIS analysis functions over the Web. This research explores the potential use of Web-based GIS in improving accessibility to distributed spatial data and spatial modeling tools. A prototype Web-based GIS developed in this study focuses on Web-based location-allocation modeling for spatial decision support, and employs a hybrid approach that uses the Arc/Info software as a GIS server and CGM viewer as a client-side plug-in. This research shows that Web-based GIS is a useful vehicle in conducting spatial modeling in the particular user community. In addition, this study represents the possibility of Web-based GIS in developing open spatial decision supporting systems.

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Improved Diagnostic Accuracy of Pancreatic Diseases with a Combination of Various Novel Serum Biomarkers - Case Control Study from Manipal Teaching Hospital, Pokhara, Nepal

  • Farooqui, Mohammad Shamim;Mittal, Ankush;Poudel, Bibek;Mall, Suhas Kumar;Sathian, Brijesh;Tarique, Mohammad;Farooqui, Mohammad Hibban
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.5
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    • pp.2171-2174
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    • 2012
  • Background: Pancreatic cancer is a distressing disease with a miserable prospects and early recognition remains a challenge due to ubiquitous symptomatic presentation, deep anatomical location, and aggressive etiology. False positives and problems in distinguishing pancreatitis from adenocarcinoma limit the use of CA 19-9 as both disorders can present with similar symptoms and share radiographic physiognomies. This study aimed to assess the relative increase in accuracy of diagnosing the patients with chronic pancreatitis, benign neoplasm of pancreas and adenocarcinomas with CA 19-9, haptoglobin, and serum amyloid A in comparison to CA 19-9 alone. Materials and Methods: This hospital based case control study was carried out in the Departments of Medicine and Biochemistry of Manipal Teaching Hospital, Pokhara, Nepal, between $1^{st}$ January 2010 and $31^{st}$ December 2011. The variables assessed were age, gender, serum CA19-9, serum haptoglobulin, serum Amyloid A. The data were analyzed using Excel 2003, R 2.8.0 Statistical Package for the Social Sciences (SPSS) for Windows Version 16.0 (SPSS Inc; Chicago, IL, USA) and the EPI Info 3.5.1 Windows Version. Results: Out of 197 cases of pancreatic disease, maximum number of assumed cases were of adenocarcinoma of pancreas (95). Number of males (59) were more than females (36) in assumed cases of adenocarcinoma of pancreas. The mean values of CA19-9 raised considerably in cases of chronic pancreatitis, benign neoplasm and adenocarcinoma of pancreas when compared to controls. The highest augmention in CA19-9 values were in cases of adenocarcinoma of pancreas. The p-value indicates that in cases of chronic pancreatitis, there was not significant increase in precision of diagnosis. Conclusions: These statistics established that haptoglobin and SAA are useful in discriminating cancer from benign conditions as well as healthy controls.