• Title/Summary/Keyword: Location정보

Search Result 5,606, Processing Time 0.027 seconds

GIS Optimization for Bigdata Analysis and AI Applying (Bigdata 분석과 인공지능 적용한 GIS 최적화 연구)

  • Kwak, Eun-young;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.05a
    • /
    • pp.171-173
    • /
    • 2022
  • The 4th industrial revolution technology is developing people's lives more efficiently. GIS provided on the Internet services such as traffic information and time information makes people getting more quickly to destination. National geographic information service(NGIS) and each local government are making basic data to investigate SOC accessibility for analyzing optimal point. To construct the shortest distance, the accessibility from the starting point to the arrival point is analyzed. Applying road network map, the starting point and the ending point, the shortest distance, the optimal accessibility is calculated by using Dijkstra algorithm. The analysis information from multiple starting points to multiple destinations was required more than 3 steps of manual analysis to decide the position for the optimal point, within about 0.1% error. It took more time to process the many-to-many (M×N) calculation, requiring at least 32G memory specification of the computer. If an optimal proximity analysis service is provided at a desired location more versatile, it is possible to efficiently analyze locations that are vulnerable to business start-up and living facilities access, and facility selection for the public.

  • PDF

Kidney Tumor Segmentation through Semi-supervised Learning Based on Mean Teacher Using Kidney Local Guided Map in Abdominal CT Images (복부 CT 영상에서 신장 로컬 가이드 맵을 활용한 평균-교사 모델 기반의 준지도학습을 통한 신장 종양 분할)

  • Heeyoung Jeong;Hyeonjin Kim;Helen Hong
    • Journal of the Korea Computer Graphics Society
    • /
    • v.29 no.5
    • /
    • pp.21-30
    • /
    • 2023
  • Accurate segmentation of the kidney tumor is necessary to identify shape, location and safety margin of tumor in abdominal CT images for surgical planning before renal partial nephrectomy. However, kidney tumor segmentation is challenging task due to the various sizes and locations of the tumor for each patient and signal intensity similarity to surrounding organs such as intestine and spleen. In this paper, we propose a semi-supervised learning-based mean teacher network that utilizes both labeled and unlabeled data using a kidney local guided map including kidney local information to segment small-sized kidney tumors occurring at various locations in the kidney, and analyze the performance according to the kidney tumor size. As a result of the study, the proposed method showed an F1-score of 75.24% by considering local information of the kidney using a kidney local guide map to locate the tumor existing around the kidney. In particular, under-segmentation of small-sized tumors which are difficult to segment was improved, and showed a 13.9%p higher F1-score even though it used a smaller amount of labeled data than nnU-Net.

LAN Based MFD Interface for Integrated Operation of Radio Facilities using Fishery Vessel (어선용 무선설비의 통합운용을 위한 LAN 기반 MFD 인터페이스)

  • In-ung Ju;In-suk Kang;Jeong-yeon Kim;Seong-Real Lee;Jo-cheon Choi
    • Journal of Advanced Navigation Technology
    • /
    • v.26 no.6
    • /
    • pp.496-503
    • /
    • 2022
  • In the reality that the fishing population is decreasing and the single-man fishing vessels is increasing, mandatory equipment for navigation and radio equipments for the safety of fishing boats has continued to be added. Therefore, many equipment such as navigation, communication and fishing are installed in the narrow steering room, so it is very confusing and a number of monitors are placed in the front, which is a factor that degrades the function of maritime observation. To solve this problem, we studied an interface that integrates and operates to major radio facilities such as very high frequency-digital selective calling equipment (VHF-DSC), automatic identification system (AIS) and fishing boat location transmission device (V-pass) into one multi function display (MFD) based on LAN. In addition, IEC61162-450 UDP packets and IEC61162 sentence were applied to exchange data through link between MFD and radio equipments, and additional messages needed for each equipment and function were defined. The integrated MFD monitor is easily operated by the menu method, and the performance of the interface was evaluated by checking the distress and emergency communication functions related to maritime safety and the message transmission status by equipment.

K-Means Clustering Algorithm and CPA based Collinear Multiple Static Obstacle Collision Avoidance for UAVs (K-평균 군집화 알고리즘 및 최근접점 기반 무인항공기용 공선상의 다중 정적 장애물 충돌 회피)

  • Hyeji Kim;Hyeok Kang;Seongbong Lee;Hyeongseok Kim;Dongjin Lee
    • Journal of Advanced Navigation Technology
    • /
    • v.26 no.6
    • /
    • pp.427-433
    • /
    • 2022
  • Obstacle detection, collision recognition, and avoidance technologies are required the collision avoidance technology for UAVs. In this paper, considering collinear multiple static obstacle, we propose an obstacle detection algorithm using LiDAR and a collision recognition and avoidance algorithm based on CPA. Preprocessing is performed to remove the ground from the LiDAR measurement data before obstacle detection. And we detect and classify obstacles in the preprocessed data using the K-means clustering algorithm. Also, we estimate the absolute positions of detected obstacles using relative navigation and correct the estimated positions using a low-pass filter. For collision avoidance with the detected multiple static obstacle, we use a collision recognition and avoidance algorithm based on CPA. Information of obstacles to be avoided is updated using distance between each obstacle, and collision recognition and avoidance are performed through the updated obstacles information. Finally, through obstacle location estimation, collision recognition, and collision avoidance result analysis in the Gazebo simulation environment, we verified that collision avoidance is performed successfully.

2D Backtracking Method of Ultrasonic Signal (초음파 신호의 2차원 역추적 방법에 관한 연구)

  • Kyu-Joung Lee;Choong Ho Lee
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.24 no.3
    • /
    • pp.172-177
    • /
    • 2023
  • In this paper, 2-dimensional backtracking method for ultrasonic signals. Ultrasonic sensors are a common technology used in industrial fields as many studies have been conducted on distance measurement and indoor location tracking using transmission and reception devices in pairs. A method for tracking a signal of an arbitrary ultrasonic transmission device on a 2D plane using only a receiver of an ultrasonic signal is proposed. In order to track the ultrasonic signal, the receiver receives the signal by making at least three. The three receivers may calculate a direction and a distance using a time difference in which the ultrasound reception sound is reached. The existing method of tracking signal sources using ultrasonic waves has a problem of time synchronization of devices because the transceivers must be paired or installed independently for each sensor. In order to solve this problem, the distance of the ultrasonic receiver is minimized, and it is configured as one device. The sensor installed as one device may be processed by one operator, thereby solving the time synchronization problem. To increase time difference accuracy, high-speed 32-bit timers with high time resolution can be used to quickly calculate and track distances and directions.

Analysis of tourist safety accidents in Jeju Area using GIS (GIS를 활용한 제주지역 관광객 안전사고 분석)

  • Yong-Bok Choi;Heonkyu Jeong
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.27 no.2
    • /
    • pp.45-60
    • /
    • 2024
  • This study aims to analyze the accidence of tourist safety accidents in Jeju using GIS and to expand the understanding of tourist safety accidents in the Jeju area. For this purpose, the eastern part of Jeju was selected as the study area, with the research period set for the entire year of 2021. The analysis utilized data on tourist safety accidents and emergency dispatch data resulting from these accidents in Jeju throughout 2021. Based on this safety accident data, an initial analysis was conducted on the accidence of tourist safety accidents across Jeju Island. This analysis identified patterns in the occurrence of tourist safety accidents by month, time, and location. Subsequently, using spatial data, grid analysis, and overlay analysis, the study examined the status of tourist safety accidents and emergency dispatches to identify vulnerable areas. Through this GIS analysis of tourist safety accidents, the study highlights the need for preventive and responsive measures considering the activity characteristics of tourists. It emphasizes the necessity of proactive preventive measures such as inspecting tourist facilities and promoting safety accident prevention, particularly in vulnerable areas..

An Exploratory Study on the Analysis of Characteristics of Pedestrian Accident Vulnerable Points using Road View: Focusing on Sasang-gu, Busan (로드뷰를 활용한 보행자 사고 취약 지점 특징 분석 탐색적 연구: 부산광역시 사상구를 중심으로)

  • Dong Kyu Lee;Jae Seon Kim;Kyung Soo Pyo;Min Kim
    • Journal of the Society of Disaster Information
    • /
    • v.20 no.2
    • /
    • pp.351-368
    • /
    • 2024
  • Purpose: In general, traffic accidents occur sporadically, so there are various limitations in terms of time and cost when conducting field investigations to prepare prevention and prevention measures. In particular, with the transition to a non-face-to-face society after the COVID-19, there is a greater need to prepare a replacement for field surveys. Therefore, in this study, Roadview provided by various websites was used as an alternative to field surveys in Sasang-gu, Busan City. The possibility was evaluated. Method: The research method was to extract vulnerable points for traffic accidents that occurred between 2016 and 22 and analyze road views based on the field survey evaluation items provided in the Traffic Safety Diagnosis Guidelines. Result: The main result was that Sasang-gu was most vulnerable to accidents involving elderly pedestrians at Sasang-ro, Daedong-ro, and Hakjang-ro. As a result of a detailed analysis of vulnerable points through Road View, Sasang-ro needed control of commercial vehicles and protection of the transportation vulnerable in the market commercial area. Daedong-ro was vulnerable to illegal on-street parking and slope merging sections, and Hakjang-ro was vulnerable to roads that were prone to speeding. When evaluating the possibility of replacing Roadview's field survey based on the results of this analysis, Roadview was able to effectively evaluate most items, such as separation of sidewalks and the location and spacing of safety facilities. However, there were limitations in items such as actual measurement performance. Conclusion: In other words, the road view can replace most field surveys, and the actual measurement evaluation items can be judged to be useful as auxiliary data, resulting in time and cost savings and high efficiency.

Application of Point Shearwave Elastography to Breast Ultrasonography: Initial Experience Using "S-Shearwave" in Differential Diagnosis (Point Shearwave Elastography의 유방 초음파에서의 적용: "S-Shearwave"를 이용한 감별진단의 초기경험)

  • Myung Hwan Lee;Eun-Kyung Kim;Eun Ju Lee;Ha Yan Kim;Jung Hyun Yoon
    • Journal of the Korean Society of Radiology
    • /
    • v.81 no.1
    • /
    • pp.157-165
    • /
    • 2020
  • Purpose To evaluate the optimal measurement location, cut-off value, and diagnostic performance of S-Shearwave in differential diagnosis of breast masses seen on ultrasonography (US). Materials and Methods During the study period, 225 breast masses in 197 women were included. S-Shearwave measurements were made by applying a square region-of-interest automatically generated by the US machine. Shearwave elasticity was measured three times at four different locations of the mass, and the highest shearwave elasticity was used for calculating the optimal cut-off value. Diagnostic performance was evaluated by using the area under the receiving operator characteristic curve (AUC). Results Of the 225 breast masses, 156 (69.3%) were benign and 69 (30.7%) were malignant. Mean S-Shearwave values were significantly higher for malignant masses (108.0 ± 70.0 kPa vs. 43.4 ± 38.3 kPa; p < 0.001). No significant differences were seen among AUC values at different measurement locations. With a cut-off value of 41.9 kPa, S-Shearwave showed 85.7% sensitivity, 63.9% specificity, 70.7% accuracy, and positive and negative predictive values of 51.7% and 90.8%, respectively. The AUCs for US and S-Shearwave did not show significant differences (p = 0.179). Conclusion S-Shearwave shows comparable diagnostic performance to that of grayscale US that can be applied for differential diagnosis of breast masses seen on US.

Research on Usability of Mobile Food Delivery Application: Focusing on Korean Application and Chinese Application (모바일 배달 애플리케이션 사용성 평가 연구: 한국(배달의민족)과 중국(어러머)을 중심으로)

  • Yang Tian;Eunkyung Kweon;Sangmi Chai
    • Information Systems Review
    • /
    • v.20 no.1
    • /
    • pp.1-16
    • /
    • 2018
  • The development and generalization of the Internet increased the popularity of food delivery service applications in Korea. The food delivery market based on online-to-offline service is growing rapidly. This study compares the usability of Korean food delivery service application between that of Chinese food delivery service application. This study suggests improvement points for Korean food delivery service applications. To conduct this study, we explore the status of various food delivery service applications and conduct interviews and surveys based on the honeycomb model developed by Peter Morville. This study obtained the following results. First, all restaurants participating in the Korean food delivery service must be able to accept order through the application. Second, the shopping cart function must be able to accept order of all restaurants simultaneously. Third, when users look for menu recommendation, their purchase history and shopping cart functions should appear at the first page of the website. Users should be able to perceive the improved usability of the website using those functions. Fourth, when the search window is fixed on the top of each page, users should be able to find the information they need. Fifth, the application must allow users to find the exact location of the delivery person and the estimated delivery time. Finally, the restaurants'address should be disclosed and fast delivery time should be confirmed to enhance users'trust on the application. This study contributes to academia and industry by suggesting useful insight into food delivery service applications and improving the point of food delivery service application in Korea.

Changes in Floating Population Distribution in Jeju Island Tourist Destinations Before and After COVID-19 Using Spatial Big Data Analysis (공간 빅데이터 분석을 활용한 COVID-19 전후 제주도 관광지의 유동인구 분포 변화)

  • Heonkyu Jeong;Yong-Bok Choi
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.27 no.1
    • /
    • pp.12-28
    • /
    • 2024
  • This study aims to identify the trend of changes in tourist floating population before and after COVID-19 in major tourist destinations in Jeju Island through spatial analysis. Seongsan-eup and Andeok-myeon in Jeju Island were selected as the research area, and the research period was set at 1 year before and 2 years after the COVID-19 outbreak. For the analysis, mobile floating population data was refined and processed to calculate floating population distribution and floating population increase/decrease data. This was converted into spatial data and an overlay analysis was performed with location data of major tourist attractions. As a result of the analysis, it was confirmed that the floating population of indoor tourist attractions and small facilities decreased immediately after COVID-19, and that in open coastal areas or large facilities, the floating population decreased less or actually increased. In conclusion, in tourism development, it is necessary to identify changes in floating population according to the characteristics of tourist facilities, and it is necessary to develop tourism facilities and strategies that can respond to risk situations such as pandemics when developing tourist destinations.