• Title/Summary/Keyword: Edge user

Search Result 311, Processing Time 0.023 seconds

Reliable and Effective Overlay Network based Dissemination System for Flash Dissemination (플래쉬 디세미네이션을 위한 안정적이고 효과적인 오버레이 네트워크 기반 전송 시스템)

  • Kim, Kyung Baek
    • Smart Media Journal
    • /
    • v.2 no.1
    • /
    • pp.8-16
    • /
    • 2013
  • The significant enhancement of the edge portion of computer networks including user-side machines and last mile network links encourages the research of the overlay network based data dissemination systems. Varieties of overlay network based data dissemination systems has distinct purposes, and each of them has a proper structure of an overlay network and a efficient communication protocol. In this paper, overlay network based data dissemination systems for Flash Dissemination, whose target is the distribution of relatively small size data to very large number of recipients within very short time, are explored. Mainly two systems, RECREW and FaReCAST, are introduced and analyzed in the aspects of design considerations for overlay networks and communication protocols. According to evaluations for flash dissemination scenarios, it is observed that the proposed overlay network based flash dissemination systems outperforms the previous overlay network based multicasting systems, in terms of the reliability and the dissemination delay. Moreover, the theoretical analysis of the reliability of data dissemination is provided by analysing FaReCAST.

  • PDF

Construction of a Blog Network based on Information Diffusion (정보 파급 모델링을 위한 블로그 네트워크 구성)

  • Lim, Seung-Hwan;Kim, Sang-Wook;Kang, Kyu-Hwang;Do, Young-Joo
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.15 no.11
    • /
    • pp.841-845
    • /
    • 2009
  • The independent cascade model has been widely used to analyze information diffusion in the blog world. In this paper, we propose a new method to construct a blog network for applying the independent cascade model to analyzing of information diffusion in a blog world. To construct a blog network, the proposed method establishes the edge between two users and calculates diffusion probabilities between them by analyzing the activities happened between two users. To calculate diffusion probabilities, the method exploits the ratio of the number of documents actually diffused to a specific user to that of documents written for the purpose of being diffused to other blogs. The experimental result using a real world blog data demonstrates that our method reflects actual information diffusion in a blog world better than existing ones.

Automatic Target Recognition for Camera Calibration (카메라 캘리브레이션을 위한 자동 타겟 인식)

  • Kim, Eui Myoung;Kwon, Sang Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.36 no.6
    • /
    • pp.525-534
    • /
    • 2018
  • Camera calibration is the process of determining the parameters such as the focal length of a camera, the position of a principal point, and lens distortions. For this purpose, images of checkerboard have been mainly used. When targets were automatically recognized in checkerboard image, the existing studies had limitations in that the user should have a good understanding of the input parameters for recognizing the target or that all checkerboard should appear in the image. In this study, a methodology for automatic target recognition was proposed. In this method, even if only a part of the checkerboard image was captured using rectangles including eight blobs, four each at the central portion and the outer portion of the checkerboard, the index of the target can be automatically assigned. In addition, there is no need for input parameters. In this study, three conditions were used to automatically extract the center point of the checkerboard target: the distortion of black and white pattern, the frequency of edge change, and the ratio of black and white pixels. Also, the direction and numbering of the checkerboard targets were made with blobs. Through experiments on two types of checkerboards, it was possible to automatically recognize checkerboard targets within a minute for 36 images.

'Reminiscence' emersed in creative industry in terms of Storytelling Significance and Application (문화콘텐츠에 나타난 '레미니상스(Reminiscence)'에 대한 스토리텔링 측면의 의미와 활용)

  • Jeong, Eui-Tae;Jung, Kyoung-He
    • Journal of Digital Convergence
    • /
    • v.16 no.11
    • /
    • pp.477-485
    • /
    • 2018
  • Beyond the mid-2010s, there has been increasing cases of using 'Reminiscence' as a trigger for recalling 'Past' in pre-production process of creative contents. In previous researches on this phenomenon, it has been recognized that retro, recall, compassion, and memory are similar. In order to look closely to grasp the psychological tendency of the contents user in detail, the study about 'Reminiscence' was conducted. The researcher analyzed 'Reminiscence' as a process of restructuration based on the experience and desire of the person individual which were derived from the past and further analyzed it as a lack of desire due to the time can never return. The study hopefully can make a balance against the cutting edge content distribution technology biased production tendency.

Path Planning for Search and Surveillance of Multiple Unmanned Aerial Vehicles (다중 무인 항공기 이용 감시 및 탐색 경로 계획 생성)

  • Sanha Lee;Wonmo Chung;Myunggun Kim;Sang-Pill Lee;Choong-Hee Lee;Shingu Kim;Hungsun Son
    • The Journal of Korea Robotics Society
    • /
    • v.18 no.1
    • /
    • pp.1-9
    • /
    • 2023
  • This paper presents an optimal path planning strategy for aerial searching and surveying of a user-designated area using multiple Unmanned Aerial Vehicles (UAVs). The method is designed to deal with a single unseparated polygonal area, regardless of polygonal convexity. By defining the search area into a set of grids, the algorithm enables UAVs to completely search without leaving unsearched space. The presented strategy consists of two main algorithmic steps: cellular decomposition and path planning stages. The cellular decomposition method divides the area to designate a conflict-free subsearch-space to an individual UAV, while accounting the assigned flight velocity, take-off and landing positions. Then, the path planning strategy forms paths based on every point located in end of each grid row. The first waypoint is chosen as the closest point from the vehicle-starting position, and it recursively updates the nearest endpoint set to generate the shortest path. The path planning policy produces four path candidates by alternating the starting point (left or right edge), and the travel direction (vertical or horizontal). The optimal-selection policy is enforced to maximize the search efficiency, which is time dependent; the policy imposes the total path-length and turning number criteria per candidate. The results demonstrate that the proposed cellular decomposition method improves the search-time efficiency. In addition, the candidate selection enhances the algorithmic efficacy toward further mission time-duration reduction. The method shows robustness against both convex and non-convex shaped search area.

Model Optimization for Supporting Spiking Neural Networks on FPGA Hardware (FPGA상에서 스파이킹 뉴럴 네트워크 지원을 위한 모델 최적화)

  • Kim, Seoyeon;Yun, Young-Sun;Hong, Jiman;Kim, Bongjae;Lee, Keon Myung;Jung, Jinman
    • Smart Media Journal
    • /
    • v.11 no.2
    • /
    • pp.70-76
    • /
    • 2022
  • IoT application development using a cloud server causes problems such as data transmission and reception delay, network traffic, and cost for real-time processing support in network connected hardware. To solve this problem, edge cloud-based platforms can use neuromorphic hardware to enable fast data transfer. In this paper, we propose a model optimization method for supporting spiking neural networks on FPGA hardware. We focused on auto-adjusting network model parameters optimized for neuromorphic hardware. The proposed method performs optimization to show higher performance based on user requirements for accuracy. As a result of performance analysis, it satisfies all requirements of accuracy and showed higher performance in terms of expected execution time, unlike the naive method supported by the existing open source framework.

A Study on Weight-Based Route Inference Using Traffic Data (항적 데이터를 활용한 가중치 기반 항로 추론에 대한 연구)

  • Seung Sim;Hyun-Jin Kim;Young-Soo Min;Jun-Rae Cho;Jeong-Hun Woo;Ho-June Seok;Deuk-Jae Cho;Jong-Hwa Baek;Jaeyong Jung
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2023.05a
    • /
    • pp.208-209
    • /
    • 2023
  • Intelligent maritime traffic information service for maritime traffic safety operates a service that provides safe and efficient optimal safety routes considering information such as water depth, maritime safety law, weather information, and fuel consumption. However, from a service user's point of view, they prefer a route that suits their personal navigation experience and style, such as unnecessary detours and conservative safety distances for maritime objects. In this study, the optimal safety route can be extracted based on the experience of service users without reflecting the separate maritime environment by adjusting the weight of the trunk line for the area where the ship frequently navigates with the ship's track data collected through LTE-M model was studied.

  • PDF

Examples of AI Technology Applications in the Field of Cultural Heritage Record Management -Focusing on "Finding Cultural Heritage - ZOOM"- (문화유산 기록관리 분야 AI기술 적용 사례 -'문화유산 찾아-ZOOM'을 중심으로-)

  • Ju hyun Baek
    • Journal of Korean Society of Archives and Records Management
    • /
    • v.24 no.3
    • /
    • pp.145-156
    • /
    • 2024
  • This study explores the integration of cutting-edge technology with records management, aiming to create new value not only in work processes but also in record information services. The research focuses on the case of constructing an "AI-based cultural heritage research record learning data and search system," carried out by the National Research Institute of Cultural Heritage (NRICH) Archives, and analyzes user satisfaction results. "Discovering Cultural Heritage with ZOOM" is a system designed to proactively predict research data demand by constructing big data (learning data) from images (675,338 items) contained in 1,421 volumes of publications in the cultural heritage field, spanning from 1973 to the present, and simultaneously presenting 50 similar images. This initiative aims to foster change and development in the field of records management and cultural heritage in response to the Fourth Industrial Revolution's advanced technologies. It is expected to provide valuable information to researchers, practitioners, and the general public alike.

A Design Direction for Mobile phones between Comparison of Users from Korea, China and Japan (한중일 사용자 비교분석을 통한 모바일폰 디자인 방향)

  • Eune, Ju-Hyun;Jung, Hee-Yun;Kim, Yun-Jun
    • Archives of design research
    • /
    • v.20 no.3 s.71
    • /
    • pp.29-38
    • /
    • 2007
  • The competition to capture a larger slice of the market in Mobile Communication business is increasing among companies. In order to achieve and maintain a competitive advantage in the Asian market, it is critical to continue to develop new technology. Understanding the underlying distinctive characteristics and needs of each market and the cultural backgrounds that drive those needs is a necessary focus. Companies with marketing strategies based on a correct understanding of market needs will capture dominant positions in the market. The purpose of this study is to identify those differences in user behavior and cultural tendencies among different people in different countries in the mobile telecommunication market. This research is based on an on-line survey in three countries (Korea, China, and Japan). Below are the contents of the survey on the mobile phone based on: 1) User behavior 2) Design preference 3) Purchasing behavior 4) User awareness on manufacturer brand. Through the analysis of this questionnaire it is possible to identify the differences and similarities among countries dearly. 1) Cultural trends and perceptions related to mobile phone usage were largely caused by differences in the state of technology, policies and business strategies of mobile sonics carriers and manufacturers, and national tendencies, of each country. 2) Korean and Japanese users produced similar responses to the questions related to advanced technology, whereas Korean and Chinese users responded similarly to national tendency-related questions. 3) To the questions related to business strategies of mobile service carriers and manufacturers, users in all three countries displayed markedly different responses. Once again, accurate analysis of the differences and similarities related to mobile phone usage in each country will help the companies in this industry to gain a competitive edge in the market. This study should not stop at simple comparison but be a framework for giving companies a dear future direction for technological development.

  • PDF

Development of Video Image-Guided Setup (VIGS) System for Tomotherapy: Preliminary Study (단층치료용 비디오 영상기반 셋업 장치의 개발: 예비연구)

  • Kim, Jin Sung;Ju, Sang Gyu;Hong, Chae Seon;Jeong, Jaewon;Son, Kihong;Shin, Jung Suk;Shin, Eunheak;Ahn, Sung Hwan;Han, Youngyih;Choi, Doo Ho
    • Progress in Medical Physics
    • /
    • v.24 no.2
    • /
    • pp.85-91
    • /
    • 2013
  • At present, megavoltage computed tomography (MVCT) is the only method used to correct the position of tomotherapy patients. MVCT produces extra radiation, in addition to the radiation used for treatment, and repositioning also takes up much of the total treatment time. To address these issues, we suggest the use of a video image-guided setup (VIGS) system for correcting the position of tomotherapy patients. We developed an in-house program to correct the exact position of patients using two orthogonal images obtained from two video cameras installed at $90^{\circ}$ and fastened inside the tomotherapy gantry. The system is programmed to make automatic registration possible with the use of edge detection of the user-defined region of interest (ROI). A head-and-neck patient is then simulated using a humanoid phantom. After taking the computed tomography (CT) image, tomotherapy planning is performed. To mimic a clinical treatment course, we used an immobilization device to position the phantom on the tomotherapy couch and, using MVCT, corrected its position to match the one captured when the treatment was planned. Video images of the corrected position were used as reference images for the VIGS system. First, the position was repeatedly corrected 10 times using MVCT, and based on the saved reference video image, the patient position was then corrected 10 times using the VIGS method. Thereafter, the results of the two correction methods were compared. The results demonstrated that patient positioning using a video-imaging method ($41.7{\pm}11.2$ seconds) significantly reduces the overall time of the MVCT method ($420{\pm}6$ seconds) (p<0.05). However, there was no meaningful difference in accuracy between the two methods (x=0.11 mm, y=0.27 mm, z=0.58 mm, p>0.05). Because VIGS provides a more accurate result and reduces the required time, compared with the MVCT method, it is expected to manage the overall tomotherapy treatment process more efficiently.